System for monitoring and controlling equipment life due to corrosion degradation

A corrosion maintenance scheduling and implementation system and method measure one or more characteristics of corrosion in equipment before and after implementation of a corrosion remediation action, determine one or more of a change in the one or more characteristics of the corrosion between before and after implementation of the corrosion remediation action, one or more historical operational characteristics of the equipment, or one or more forthcoming operational characteristics of the equipment, and modify a schedule of the corrosion remediation action for the equipment based on one or more of the one or more characteristics of corrosion that are measured, the change in the one or more characteristics of the corrosion, the one or more historical operational characteristics of the equipment, and/or the one or more forthcoming operational characteristics of the equipment.

FIELD

The subject matter described herein relates to monitoring corrosion of equipment, such as turbine engines or other equipment.

BACKGROUND

Equipment that includes metal components can corrode over time. The corrosion can develop pitting in the equipment, which eventually can lead to cracks in the equipment and eventual failure of the equipment. Equipment may be scheduled for periodic inspection to check on the existence and/or progression of corrosion. But, this periodic inspection of corrosion may only examine the propagation of cracks and/or may only measure a single corrosion pit, and not examine other aspect of corrosion. As a result, predictions of how much longer the equipment can continue to safely operate (e.g., the remaining useful service life of the equipment) may be inaccurate.

BRIEF DESCRIPTION

In one embodiment, a method includes measuring one or more characteristics of corrosion in equipment before and after implementation of a corrosion remediation action, determining one or more of a change in the one or more characteristics of the corrosion between before and after implementation of the corrosion remediation action, one or more historical operational characteristics of the equipment, or one or more forthcoming operational characteristics of the equipment, and modifying a schedule of the corrosion remediation action for the equipment based on one or more of the one or more characteristics of corrosion that are measured, the change in the one or more characteristics of the corrosion, the one or more historical operational characteristics of the equipment, and/or the one or more forthcoming operational characteristics of the equipment.

In one embodiment, a system includes one or more processors configured to obtain measurements of one or more characteristics of corrosion in equipment before and after implementation of a corrosion remediation action. The one or more processors also are configured to determine one or more of a change in the one or more characteristics of the corrosion between before and after implementation of the corrosion remediation action, one or more historical operational characteristics of the equipment, and/or one or more forthcoming operational characteristics of the equipment. The one or more processors are configured to modifying a schedule of the corrosion remediation action for the equipment based on one or more of the one or more characteristics of corrosion that are measured, the change in the one or more characteristics of the corrosion, the one or more historical operational characteristics of the equipment, and/or the one or more forthcoming operational characteristics of the equipment.

In one embodiment, a method includes measuring one or more characteristics of corrosion in equipment before and after implementation of a corrosion remediation action, determining a change in the one or more characteristics of the corrosion between before and after implementation of the corrosion remediation action, determining upcoming growth of the corrosion in the equipment based on the one or more characteristics of the corrosion that are measured and forthcoming operational characteristics of the equipment, and modifying a schedule of the corrosion remediation action for the equipment based on the upcoming growth of the corrosion that is determined and the forthcoming operational characteristics of the equipment.

DETAILED DESCRIPTION

One or more embodiments of the inventive subject matter described herein provide systems and methods that monitor equipment for corrosion, operational characteristics, etc., and determine schedules for remediation actions based on the corrosion, operational characteristics, etc. of the equipment that are monitored. While the description herein can determine remediation schedules for engine turbines, the systems and methods can be used to determine remediation schedules for other types of equipment, such as other vehicle components, bridges, rails, or the like.

The systems and methods can characterize corrosion of the equipment based on optical measurements of corrosion pits in the equipment. For example, the systems and methods can use multi-dimensional surface information regarding the corrosion pit population (including depths, widths, and/or aspect ratios of the pits) to quantify stress concentrations associated with a field of corrosion pits. The aspect ratio for a corrosion pit can be the ratio of the width of the pit to the depth of the pit.

FIG. 1illustrates one embodiment of a corrosion monitoring system100. The system100includes an analysis controller102that monitors equipment performance parameters and predicts corrosion degradation of equipment104, such as a turbine engine of an aircraft (or another type of engine, another engine for another type of vehicle, or another type of equipment other than an engine). Responsive to predicting corrosion degradation, the analysis controller102can automatically implement and/or schedule one or more responsive actions, which also can be referred to as remedial actions. These responsive actions can be performed without removing the equipment104from the powered system to which the equipment104is coupled, such as the aircraft or wing of the aircraft. With respect to a surface-mounted equipment104(e.g., a turbine mounted on a surface of the ground, a ship, or another surface), the responsive actions can be performed without removing the equipment104from the surface to which the equipment104is mounted.

A remediation system106represents one or more hardware components that change a state of the equipment104to reduce the effect of further corrosion. For example, the remediation system106can include a cleaning system that applies water, air, or the like, to remove corrosive species from the equipment104. The remediation system106can include a spraying device that adds coatings to the equipment104, including corrosion mitigation coatings. The remediation system106can include a sanding or abrasive device that sands corrosion off the equipment104or blends the corrosion.

Optionally, the remediation system106can be a scheduling system that changes a schedule of the vehicle to avoid city-to-city flight paths that involve exposure to dust that causes hot corrosion. As another example, the remediation system106can communicate with an equipment controller108that controls operation of the equipment104. The equipment controller108can modify operating parameters of the equipment104, such as to de-rate the equipment104, to reduce an upper limit on an operating temperature of the equipment104, and/or to otherwise reduce stresses of the equipment104to reduce the rate of corrosion.

The analysis controller102and/or equipment controller108represent hardware circuitry that includes and/or is connected with one or more processors (e.g., one or more microprocessors, field programmable gate arrays, and/or integrated circuits) that perform the associated operations described herein. Optionally, the analysis controller102and/or equipment controller108can include one or more processors (e.g. a controller, microprocessor, microcontroller, digital signal processor, etc.), one or more memories, one or more input/output subsystems, one or more laptop computers, one or more mobile devices (e.g., a tablet computer, smart phone, body-mounted device or wearable device, etc.), one or more servers, one or more enterprise computer systems, one or more networks of computers, etc. In one embodiment, the equipment controller108includes a full authority digital engine controller (FADEC), a component thereof, or as a separate module in communication with the FADEC (e.g., via one or more electronic communication links or networks). In some embodiments, the equipment controller108monitors a range of equipment characteristics, such as the frequency of data acquisition and communication with the analysis controller102.

The controllers102,108can communicate with each other via one or more networks. The network(s) may be, for example, a cellular network, a local area network, a wide area network (e.g., Wi-Fi), a cloud, a virtual personal network (e.g., VPN), a cloud, an Ethernet network, and/or a public network such as the Internet. The controllers102,108can include and/or communicate with each other via communication subsystems. The communication subsystems may enable shorter-range wireless communications between the controllers102,108using, for example, BLUETOOTH and/or other technology. The communication subsystems may include one or more optical, wired and/or wireless network interface subsystems, cards, adapters, or other devices, as may be needed pursuant to the specifications and/or design of the controllers102,108.

One or more corrosion sensors110can optically measure characteristics of corrosion in or on the equipment104. In one embodiment, the corrosion sensor110includes an optical sensor that measures multi-dimensional information on corrosion in the equipment. This information can include locations and/or sizes of the corrosion pits in the equipment104. The corrosion sensor110can include a structured light sensor that generates several points of light that are reflected off the equipment104and that measures reflection of the points of light. Based on changes in the emitted and detected points of light, the corrosion sensor110can detect interruptions in smooth surfaces of the equipment104.

A corrosion pit can be characterized by several characteristics that represent multi-dimensional information about the corrosion pit. These characteristics can include a location of the pit (e.g., the absolute location on a surface of the equipment104and/or a location of the pit relative to another pit). The characteristics can include a depth measurement that is a distance that the pit extends into the equipment104from the surface. Another characteristic can include a width measurement that is a distance that the pit extends along one or more directions that are perpendicular to the direction in which the depth is measured. Another characteristic can include an aspect ratio, which is the width of the pit divided by the depth of the pit. Another characteristic of the pit can be a volume of the pit. Other characteristics of the pit optionally may be measured, such as an area of the pit (e.g., a size or fraction of the area of the surface of the equipment104that is replaced by the pit or over which the pit extends), a spacing of the pit (e.g., a distance between the pit and one or more neighboring pits), etc.

Optionally, the sensor110can represent another type of source of characteristics of the corrosion pits in the equipment104. For example, the sensor110can represent an input (e.g., a keyboard, touchscreen, stylus, electronic mouse, antenna, etc.) that is used to provide or receive the characteristics of corrosion pits from a source such as an operator that measured the characteristics. This input can be received via an interface112(described below). The pit characteristics can be communicated from the sensor110and/or interface to the analysis controller102, or optionally can be stored in one or more computer readable memories116, (“Database” inFIG. 1), such as one or more computer hard drives, optical discs, servers, or the like.

The analysis controller102also receives operational characteristics of the equipment104. The interface112represents hardware circuitry that includes and/or is connected with one or more communication devices, such as transceiving circuitry, modems, antennas, or the like. The interface112receives one or more operational characteristics of the equipment104from the equipment controller108. For example, the operational characteristics can be communicated via one or more wired and/or wireless connections between the equipment controller108and the interface112. The interface112can communicate the operational characteristics to the analysis controller102and/or the database116. The analysis controller102can obtain the pit characteristics and/or the operational characteristics from the database116.

The operational characteristics can include engine operating parameters, such as throttle settings and/or how long one or more throttle settings were used. The operational characteristics can include routes over which the equipment104traveled. For example, if the equipment104is an engine of an aircraft, the operational characteristics can include flight paths, location pairs (e.g., the starting and ending locations for trips of the aircraft), or the like.

Another example of the operational characteristics includes environmental exposure, such as temperatures at which the equipment104operated, how long the equipment104operated at one or more of the temperatures, ambient temperatures to which the equipment104was exposed, how long the equipment104operated at one or more of the ambient temperatures, humidity to which the equipment104was exposed, how long the equipment104was exposed to the humidity, the amount of dust or other contaminants to which the equipment104was exposed, etc. In one embodiment, the environmental exposure or one or more of the operational characteristics can be provided from one or more equipment sensors118. The equipment sensor118can include a thermocouple or other temperature sensitive device that measures operating temperatures of the equipment104and/or ambient temperatures, a hydrometer that measures humidity, a dust sensor that measures amounts of dust or other contaminants to which the equipment104was exposed, or the like. The dust sensor can include a source of satellite data that provides airborne particulate exposure of the equipment104, such as the satellite itself, a database that stores the airborne particulate exposure measured by the satellite, or the like.

With respect to airline equipment104, the measurement of the corrosion pits using the sensor110can be operated at an A check, C check, another procedure at an airport, or other location. The analysis controller102can store the measurements in the database116. The database116also can store information related to the remediation action history of the equipment104. This information can include the date of the last remediation action, the type of remediation action, etc.

The analysis controller102receives one or more of the corrosion pit characteristics and one or more of the operational characteristics of the equipment104, and optionally performs a stress analysis of the equipment104based on the received characteristic(s) at the relevant operating conditions, such as engine operating speeds, temperatures, etc. The analysis controller102can use the corrosion characteristics to determine a stress distribution in the equipment104in the presence of corrosion pits200.

The analysis controller102can perform a finite element analysis stress analysis to identify stress concentrations (e.g., locations or areas of the equipment104having stress above a designated threshold) on the surface of the equipment104for the specific measured pit geometries and locations. The stresses can be calculated using finite element analysis based on the locations of the corrosion pits202, the pit characteristics, and/or the operational characteristics. In some situations, a full finite element analysis may not need to be performed to determine the stresses. Instead, empirical correlations or reduced order equations could be used to predict the stresses. Optionally, the stress analysis performed by the analysis controller102can include comparing the corrosion pit characteristics and/or operational characteristics with different designated corrosion pit characteristics and/or different designated operational characteristics. The different designated corrosion pit characteristics and/or different designated operational characteristics can be associated with different amounts of stress.

For example, larger volumes of corrosion pits, more corrosion pits, smaller aspect ratios of the corrosion pits, larger surface areas of corrosion pits, deeper corrosion pits, smaller distances between corrosion pits, hotter operating temperatures, longer exposure times of the equipment104to the elevated operating temperatures, more humid conditions to which the equipment104was exposed, longer exposure times of the equipment104to the humid conditions, more dust to which the equipment104was exposed, etc., can be associated with greater stresses on the equipment104than smaller volumes of corrosion pits, fewer corrosion pits, greater aspect ratios of the corrosion pits, smaller surface areas of corrosion pits, shallower corrosion pits, larger distances between corrosion pits, cooler operating temperatures, shorter exposure times of the equipment104to the elevated operating temperatures, less humid conditions to which the equipment104was exposed, shorter exposure times of the equipment104to the humid conditions, less dust to which the equipment104was exposed, etc.

The amounts of stress associated with the different characteristics can be stored in the database116, and can be based on previous measurements of stress on other equipment104having the associated characteristics. The analysis controller102can determine different stresses for different sections of the equipment104, such as different areas of the equipment104. In one embodiment, the analysis controller102can determine stresses associated with individual corrosion pits in the equipment104.

The analysis controller102can implement remediation to reduce the rate at which corrosion of the equipment104is increasing. Remediation actions implemented by the analysis controller102can include, for example, cleaning the equipment104to remove corrosive species, avoiding city-to-city flight paths of the equipment104that involve exposure to dust, modification of operating parameters of the equipment104to reduce the maximum operating temperatures and stresses of the equipment104to reduce the rate of corrosion, or the like. In one embodiment, the analysis controller102generates and communicates a control signal to the remediation system106responsive to the stresses determined by the analysis controller102exceeding a first designated threshold and/or the predicted residual life of the equipment104falling below a second designated threshold. The remediation system106can represent automatic cleaning equipment that automatically sprays a cleaning solution or that otherwise removes a corrosive species (e.g., salt) from the equipment104responsive to receiving the control signal from the analysis controller102, such as a spray device or system controlled by the controller102.

Optionally, the remediation system106can represent a scheduling system or dispatch facility that changes a schedule of a vehicle that includes the equipment104to prevent the vehicle and equipment104from traveling between locations or to a location that would result in the vehicle and equipment104moving through dust. Additionally or alternatively, the remediation system106represents a spray device or system that automatically applies one or more coatings to the equipment responsive to receiving the control signal from the analysis controller102. For example, one or more corrosion mitigation coatings such as paints can be sprayed onto the equipment.

As another example, the analysis controller102can communicate the control signal to the equipment controller108to direct the equipment controller108to restrict the operational parameters of the equipment104. For example, the equipment controller108may prevent the throttle of the equipment104from being increased above a threshold setting (that is less or lower than the maximum upper throttle of the equipment104) to reduce the operating temperature and corrosion of the equipment104. The analysis controller102can automatically lower upper limits on operation of the equipment104to control the amount and/or rate of growth of corrosion, such as by preventing the equipment104from operating at too hot of temperatures (which could create more corrosion or increase the rate at which corrosion in the equipment104is growing or developing).

The analysis controller102can obtain historical data about the equipment104or the history of the remediation actions implemented on the equipment104, including data obtained during previous measurements of corrosion in the equipment104. For example, the analysis controller102can obtain previously measured sizes of corrosion pits in the equipment104, which remediation actions were implemented on the equipment104(and/or when the remediation actions were implemented), and/or previous operations of the equipment104from the database116. The previous operations can indicate previous operational settings of the equipment104(e.g., throttle settings), previous temperatures of the equipment104, routes that the equipment104traveled alone, and the like.

The analysis controller102can use some or all this historical information to determine whether to implement one or more remediation actions and/or to select a remediation action from among many different remediation actions to implement. For example, the analysis controller102can determine that the corrosion characteristics (e.g., the sizes of corrosion pits) alone do not warrant implementing a remediation action. But, the analysis controller102can examine historical measurements of the corrosion characteristics and determine that the corrosion characteristics are increasing at a rapid rate, such as when the aspect ratio of the corrosion pits200are decreasing by at least a designated rate. Even though the analysis controller102may not implement a remedial action due to the recently measured corrosion characteristic(s), the analysis controller102may determine that the rate of change in the corrosion characteristic(s) is sufficiently large that a remedial action is to be implemented.

FIG. 2illustrates examples of corrosion pit characteristics200examined by the analysis controller102to determine whether to implement one or more remedial actions. The characteristics200can represent previously measured depths, widths, aspect ratios (or inverse values of the aspect ratios), distances between pits (or inverse values of the distances), etc. The characteristics200are shown alongside a horizontal axis202representative of time and a vertical axis204representative of increasing values of the characteristics200. The analysis controller102may not automatically implement a remediation action on equipment104responsive to the characteristics200remaining at or below a designated limit206. For example, the analysis controller102does not implement a remediation action on the equipment104while the inverse value of the corrosion pit aspect ratio remains smaller than the limit206(indicating larger aspect ratios), the pit depth and/or width remain smaller than the limit206(indicating smaller pits), the number of pits being no greater than the limit206, and/or the inverse value of the distances between pits remaining below the limit206(indicating pits that are farther apart), etc. In the illustrated example, the analysis controller102would not implement a remediation action while the characteristic200remains at or below the limit206.

But, the analysis controller102can proceed with automatically implementing a remediation action responsive to a rate in change of one or more of these characteristics200exceeding a designated rate limit. The analysis controller102can determine a rate of change208in the previously measured characteristics200and compare this rate of change208to the designated rate limit. If the rate of change208exceeds the designated rate limit, then the rate of change208can indicate that corrosion of the equipment104is worsening at a rapid rate, even though the individual characteristics200of the corrosion do not alone indicate a need to remediate the corrosion.

As another example, the analysis controller102can examine historical operational settings or characteristics of the equipment104to determine whether to implement a remediation action. The historical operational settings or characteristics can indicate what speeds the equipment104operated at, the temperatures and/or humidity levels in which the equipment104operated, and/or locations or routes where the equipment104previously traveled. These historical operational settings can be examined along with the measured corrosion characteristics to determine whether remediation of the corrosion should be performed. For example, the corrosion in equipment104may be increasing, but the corrosion characteristics and/or rate of change208in the corrosion characteristics may not be sufficiently bad to cause the analysis controller102to implement a remediation action.

The equipment104, however, may not have been operating in conditions that would otherwise be associated with increasing corrosion. For example, the equipment104may have been operating at low speeds, low temperatures, low levels of humidity, and/or at locations or along routes with low amounts of dust or other particulates. But, the corrosion measured in the equipment104may be otherwise associated with equipment104operating at faster speeds, in hotter temperatures, in higher humidity levels, and/or along routes with increased amounts of dust. Therefore, corrosion in the equipment104may be worsening at a rate that is faster than expected given the operational conditions of the equipment104. The analysis controller102can decide to implement the remediation action on the equipment104even though the corrosion characteristics and/or rate of growth208would otherwise not be sufficient to cause the analysis controller102to implement the remediation action.

The analysis controller102can examine or predict the efficacy of the remediation action implemented by the remediation system106. For example, the degree of corrosion prior to the remediation action can be assessed using the sensor110by measuring one or more of the corrosion characteristics described herein. The degree of corrosion can be measured again by the sensor110after the remediation action implemented by the remediation system106. The analysis controller102can determine how effective the remediation action was based on how the corrosion characteristics changed.

For example, the analysis controller102can determine and compare how corrosion characteristics on the equipment104change from before a remediation action was implemented to after the remediation action was implemented. If the maximum, average, or the like, of the volume, area, depth, width, etc. of the corrosion pits decreased, then the remediation action can be determined by the analysis controller102to be more effective than another remediation action that resulted in no decrease or a smaller decrease. If the minimum, average, or the like, of the distances between pits and/or the aspect ratios of the pits increased, then the remediation action can be determined by the analysis controller102to be more effective than another remediation action that resulted in no increase or a smaller increase. The analysis controller102can then select the more effective remediation actions for implementing for future determinations of when a remediation action is to be implemented.

The analysis controller102can create or modify a corrosion restoration or mitigation schedule based on the corrosion characteristics and/or the effectiveness of different remediation actions. For example, using the determinations of how effective the remediation actions are, the analysis controller102can schedule which remediation actions are performed and when the remediation actions are performed to increase residual or remaining useful lives of the equipment104. The analysis controller102can schedule different remediation actions and/or more frequent remediation actions to increase the predicted residual lives of the equipment104.

For example, the analysis controller102can create or modify such a remediation schedule based on a specified objective. For example, different remediation schedules can be generated for prolonging the residual life of the equipment104, for improving performance of the equipment104(e.g., increase horsepower, increase fuel efficiency, etc.), or the like. The analysis controller102can obtain performance data from the equipment controller108to estimate the improved residual life achieved from the remediation actions performed on the equipment104. Based on improvements to the performance of the equipment (e.g., fuel efficiency, vibrations, emission generation, etc.), the analysis controller102can determine whether to change the remediation schedule.

Another example of an objective is time periods between successive maintenance operations on the equipment104. The time period between successive maintenance operations is the length of time between when the equipment104is maintained, such as how many days, weeks, or months pass between cleaning, repair, painting, or the like, of the equipment104. The analysis controller102can modify the remediation schedule to increase the time period between successive maintenance operations. For example, the analysis controller102can select from among several different remediation actions based on which remediation action will prolong the useful life of the equipment104more than other remediation actions, which remediation action will extend the time period until the next maintenance operation (e.g., remediation action) is performed, or the like. Optionally, the analysis controller102can examine an existing maintenance schedule for the equipment104and select or schedule the remediation action based on which remediation action will not require additional maintenance on the equipment104until the next scheduled maintenance operation. For example, the equipment104may have a cleaning or inspection scheduled for a date that is four weeks from now. The analysis controller102can examine several remediation action options and determine that a first remediation action will not require additional maintenance on the equipment104for at least twelve weeks, a second remediation action will not require additional maintenance on the equipment104for at least six weeks, and a third remediation action will not require additional maintenance on the equipment104for at least twenty-four weeks. The analysis controller102can select (or schedule) the second remediation action as this remediation action will last for a time period that is closer to the next scheduled maintenance operation of the equipment104, where additional remediation action(s) can be performed.

Another example of an objective is equipment reliability. Equipment reliability can be based on or represent a percentage or fraction of failures of equipment. Different reliabilities can be calculated based on how long the equipment is able to operate following a remediation action. For example, 55% of equipment may continue operating for at least thirty days after a water wash before failing, 70% of equipment may continue operating for at least thirty days after a foam wash before failing, and 90% of equipment may continue operating for at least thirty days after painting. These calculated reliabilities can be stored (e.g., in the database) and accessed by the analysis controller102in order to determine which remediation action to schedule or implement. For example, the analysis controller102can schedule the remediation action having the highest reliability or a reliability that is greater than one or more (but not all) other remediation actions.

As another example, if the fuel efficiency is decreasing or the vibrations generated by the equipment104is increasing (as communicated to the analysis controller102via the database116and/or an input device), then the analysis controller102can modify the remediation schedule to provide for more frequent and/or different remediation actions. If the fuel efficiency is not changing or the noise generated by the equipment104is remaining the same, then the analysis controller102can modify the remediation schedule to provide for less frequent and/or different remediation actions (e.g., to save cost and/or time in maintaining the equipment104). The analysis controller102can modify the remediation schedule for the equipment104in order to improve or increase performance of the equipment104(e.g., relative to performance prior to modification of the remediation schedule), increasing usage time of the equipment (e.g., the time between performing remediation actions on the equipment104) relative to usage time before modification of the remediation schedule, reduction of the overall cost of operation of the equipment104, and/or reduction of remediation actions and/or maintenance costs to the owner or operator of the equipment104.

The analysis controller102can determine individualized remediation schedules for individual pieces of equipment104, and/or can determine fleet-wide remediation schedules based on the information described herein. The analysis controller102can communicate with the equipment controllers108of several different pieces of equipment104(e.g., turbine engines on the same or different aircraft) to obtain the operational characteristics of the different pieces of equipment104. The analysis controller102can modify the remediation schedules for the various pieces of equipment104based on usages of the equipment104. For example, the equipment104that is used more often, that operates at greater speeds and/or hotter temperatures, etc., may have remediation schedules with remediation implemented more often, while the equipment104that is used less often, that operates at slower speeds and/or cooler temperatures, etc., may have remediation schedules with remediation implemented less often.

In one embodiment, the equipment controller108can compare operating characteristics of the equipment104during operation of the equipment to an established or designated healthy equipment profile of operating characteristics. The healthy profile can be developed over time using model-based control algorithms. Based on the comparison of the operating characteristics to the healthy profile, the equipment controller104can predict or define the equipment health. For example, the equipment controller108can assign the equipment104with a low health score (e.g., two or three out of ten) responsive to the operating temperature, fuel efficiency, engine speed, etc. of the equipment104being a hotter temperature, lower efficiency, lower speed at the same throttle, etc., than the temperature, efficiency, speed, etc. of the healthy profile. The equipment controller108can assign the equipment104with a greater health score (e.g., seven or eight out of ten) responsive to the operating temperature, fuel efficiency, engine speed, etc. of the equipment104being the same as or better than the healthy profile. After the equipment104is built, the equipment104can be tested in a test cell to make sure that the equipment104meets performance requirements.

Operational characteristics and performance data for each piece of equipment104can be is acquired in a test cell and then incorporated into a model-based engine health monitoring algorithm. This algorithm can associate different operational characteristics of the equipment104with different states or conditions of the equipment104. Operation of the equipment104in the field (e.g., on the wing of an aircraft) is measured and compared to the operation that is expected from the algorithm at a specific point in the life of the equipment104that is under consideration. For example, the turbine temperature and turbine component temperatures can be measured in a test cell and these measurements can be compared with subsequent on-wing temperature measurements. If the difference between the measurements obtained in the test cell and the measurements obtained on-wing exceeds certain prescribed values, then the equipment controller108can conclude that the turbine temperature is deteriorating over time, and the remediation action may be implemented. A trigger limit can be set for each parameter or combination of parameters that sets or is used to determine the need for restoration of the components of the equipment104.

The database116can store availability information of different remediation actions. This information can indicate which remediation actions are available at different locations, which personnel that implement the remediation actions are available at different locations, etc. This information can be used by the analysis controller102to determine which remediation action to implement. For example, the analysis controller102may select washing the equipment104to remove a corrosive species instead of applying a coating additive to the equipment104if the coating system used to spray the coating additive is not available in the location of the equipment104.

The analysis controller102can coordinate remediation actions with other schedules of the equipment104. For example, the analysis controller102may determine that the equipment104needs a remediation action to be performed based on the corrosion characteristic(s) and/or the operational characteristic(s) procedure. But, if the equipment104is scheduled for other maintenance, the analysis controller102may delay implementation of the remediation action until the other maintenance is performed to avoid additional time periods where the equipment104is out of service.

As another example, the analysis controller102may determine that the equipment104needs a remediation action to be performed based on the corrosion characteristic(s). But, the analysis controller102may delay implementation of the remediation action until the equipment104is stationary at a location for a sufficiently long time to allow for the implementation of the remediation action. For example, the analysis controller102can schedule remediation during a time that an aircraft is scheduled to be stationary between trips.

The analysis controller102can examine historical data on the corrosion characteristics, the operational characteristics, operational data of the equipment, and the remediation actions that were implemented to determine remediation cycle times. For example, the analysis controller102can examine how often remediation actions were needed, how quickly the corrosion of the equipment104progressed between remediation actions, performance of the equipment104before and/or after remediation actions (e.g., horsepower output, fuel efficiency, noise, etc.), or other historical data. The analysis controller102can determine that the remediation actions need to be performed more or less often based on this historical data in order to improve performance of the equipment104without taking the equipment104out of service for too long of time periods. The analysis controller102can determine how often remediation actions are to be performed on a category or type of equipment104(e.g., a turbine engine having the same model number) based on this historical data, and schedule remediation actions for the same type of equipment104based on this determination.

For example, the analysis controller102can determine that a first remediation action (e.g., washing the equipment104) may have a shorter cycle time than a different, second remediation action (e.g., applying paint to the equipment104) due to the rate of corrosion growth being faster after implementing the first remediation action when compared to the second remediation action. If the first remediation action is implemented on the equipment104, the analysis controller102can schedule a follow-up remediation action for the equipment104sooner than if the second remediation action was implemented.

In one embodiment, the analysis controller102can predict growth of the corrosion on one or more parts of the equipment104. This growth can be represented or quantified by a change in one or more corrosion characteristics, such as a 20% increase in pit depth, a 20% increase in pit width, a 20% decrease in pit aspect ratio, a 20% decrease in pit spacing (e.g., distances between pits), etc. The analysis controller102can obtain or receive (e.g., from a schedule of upcoming travel of a vehicle that includes the equipment104, from operator input, etc.) forthcoming operational characteristics of the equipment104. These characteristics can include planned throttle settings, planned horsepower outputs, expected ambient temperatures and/or humidity, and the like, for upcoming operation of the equipment104. These characteristics can be obtained from scheduled operations of the equipment104, which may dictate the throttle settings, outputs, and/or routes to be traveled by the equipment104. The ambient conditions (e.g., temperature and/or humidity) can be obtained by reference to weather forecasts for the routes scheduled to be traveled by the equipment104. The analysis controller102can compare the forthcoming (e.g., expected or planned) operational characteristics with designated or required operational characteristics.

The different designated operational characteristics can be associated with different rates of corrosion growth (e.g., in a memory such as the database116). For example, greater designated throttle settings, hotter expected temperatures, increased expected humidity, greater amounts of dust in a route planned for upcoming travel, etc., can be associated in the database116with larger increases in the expected rate of corrosion growth than smaller designated throttle settings, cooler expected temperatures, decreased expected humidity, lesser amounts of dust in a route planned for upcoming travel, etc. The analysis controller102can determine which designated operational characteristics match or are closer to the forthcoming operational characteristics (e.g., closer than one or more other designated operational characteristics). The rate of corrosion growth associated with this or these designated operational characteristics can be identified by the analysis controller102as predicted corrosion growth. The analysis controller102can then inform an operator (e.g., via an output device such as a display, a speaker, or the like) of the predicted rate of corrosion growth and/or the expected corrosion characteristics after the predicted corrosion growth. The analysis controller102optionally can automatically schedule one or more remedial actions to be implemented based on the expected corrosion growth so that the remedial action(s) is implemented before the corrosion growth exceeds one or more thresholds.

FIG. 3illustrates a flowchart of one embodiment of a method300for monitoring corrosion in equipment. The method300can represent some or all the operations performed by the system100described above to monitor corrosion in the equipment104, to determine which remediation action(s) to implement to repair, reduce, or remove corrosion in the equipment104, to implement the remediation action(s), to determine how effective the remediation action was, and/or to change a schedule for upcoming remediation actions.

At302, one or more characteristics of corrosion in equipment are determined. As described above, these characteristics can be measured depths, widths, aspect ratios, distances between pits, volumes of pits, etc. At least some of these characteristics can be multi-dimensional characteristics in that the characteristics are measured in two or more directions or dimensions for each corrosion pit that is examined.

At304, a remediation action is selected and implemented based on the corrosion characteristics. In one embodiment, the remediation action can be selected for implementation responsive to one or more of the corrosion characteristics exceeding a designated threshold (e.g., the pit depth, width, and/or volume exceeding an associated designated threshold) or falling below another designated threshold (e.g., the pit aspect ratio and/or pit volume falling below a different associated threshold). Optionally, the remediation action can be selected for implementation responsive to a rate of change in the corrosion characteristic(s) exceeding a designated rate of change, as described above.

In one embodiment, the remediation action that is selected can be chosen from among many different remediation actions based on availability information of the different remediation actions. This information can indicate which remediation actions are available at different locations, which personnel that implement the remediation actions are available at different locations, etc. Optionally, the remediation action that is selected can be coordinated with a schedule of the equipment. For example, a determination may be made that the equipment needs a remediation action to be performed based on the corrosion characteristic(s) and/or the operational characteristic(s) of the equipment. But, if the equipment is scheduled for other maintenance, the analysis controller may delay implementation of the remediation action until the other maintenance is performed to avoid additional time periods where the equipment is out of service.

At306, one or more characteristics of corrosion in equipment are determined. The characteristics can be determined after implementation of the remediation action. In one embodiment, the same characteristics are determined for the same equipment at302and306.

At308, a change in one or more of the corrosion characteristics is determined. The characteristics are determined after completion of the remediation action in order to examine how effective the remediation action was in reducing or eliminating corrosion in the equipment. For example, the efficacy of the remediation action that was implemented can be quantified by assessing the degree of corrosion prior to the remediation action via measuring one or more of the corrosion characteristics described herein. The degree of corrosion can be measured again after the remediation action to determine how effective the remediation action was based on how the corrosion characteristics changed. If the maximum, average, or the like, of the volume, area, depth, width, etc. of the corrosion pits decreased, then the remediation action can be determined to be more effective than another remediation action that resulted in no decrease or a smaller decrease. If the minimum, average, or the like, of the distances between pits and/or the aspect ratios of the pits increased, then the remediation action can be determined to be more effective than another remediation action that resulted in no increase or a smaller increase.

At310, a remediation action or schedule is changed based on the change in the corrosion characteristics. A corrosion restoration or mitigation schedule can be modified based on the corrosion characteristics and/or the effectiveness of different remediation actions. For example, using the determinations of how effective the remediation actions are, the analysis controller can schedule which remediation actions are performed and when the remediation actions are performed to increase residual or remaining useful lives of the equipment. Different remediation actions and/or more frequent remediation actions can be scheduled to increase the predicted residual lives of the equipment.

Optionally, the remediation schedule can be changed to achieve a specified objective. For example, different remediation schedules can be generated for prolonging the residual life of the equipment, for improving performance of the equipment, or the like (as described above). The schedule that is determined may be determined for an individual piece of equipment, or can be determined for many pieces of equipment (e.g., a fleet-wide schedule). Optionally, the schedule can be modified based on operational characteristics of the equipment, such as how often equipment is used, the speeds and/or temperatures at which the equipment operates, etc.

In one embodiment, the remediation schedule is modified based on a remediation cycle time. For example, a determination as to how often remediation actions are needed, how quickly the corrosion of the equipment progressed between remediation actions, performance of the equipment before and/or after remediation actions, other historical data, etc., can be performed. The remediation actions may need to be performed more or less often based on this historical data in order to improve performance of the equipment without taking the equipment out of service for too long of time periods. The analysis controller102can determine how often remediation actions are to be performed on a category or type of equipment104based on this historical data, and can schedule remediation actions for the same type of equipment104based on this determination. This frequency at which remediation actions are needed can be used to modify or create the remediation schedule.

In one embodiment, a method includes measuring one or more characteristics of corrosion in equipment before and after implementation of a corrosion remediation action, determining one or more of a change in the one or more characteristics of the corrosion between before and after implementation of the corrosion remediation action, one or more historical operational characteristics of the equipment, or one or more forthcoming operational characteristics of the equipment, and modifying a schedule of the corrosion remediation action for the equipment based on one or more of the one or more characteristics of corrosion that are measured, the change in the one or more characteristics of the corrosion, the one or more historical operational characteristics of the equipment, and/or the one or more forthcoming operational characteristics of the equipment.

Optionally, the method includes implementing (e.g., automatically) the corrosion remediation action on the equipment.

Optionally, the one or more characteristics of the corrosion in the equipment include one or more multi-dimensional characteristics of corrosion pits in the equipment.

Optionally, the corrosion remediation action includes one or more of washing the equipment or applying a paint or other coating to the equipment.

Optionally, the method includes determining a rate of change in the one or more characteristics of the corrosion as the change in the one or more characteristics of the corrosion, and wherein the schedule is modified based on the rate of change.

Optionally, the method includes determining the one or more historical operational characteristics as one or more of previous settings of the equipment, previous speeds at which the equipment operated, previous temperatures in which the equipment operated, previous humidity levels in which the equipment operated, or previous amounts of dust in which the equipment operated, and wherein the schedule is modified based on the one or more historical operational characteristics of the equipment.

Optionally, the schedule of the corrosion remediation action also is modified based on an operational objective of the equipment.

Optionally, the operational objective of the equipment includes a limit in one or more of a fuel efficiency of the equipment or emissions generated by the equipment.

Optionally, the schedule of the corrosion remediation action is modified for a fleet of equipment that includes the equipment for which the one or more characteristics of corrosion were measured.

Optionally, modifying the schedule includes one or more of determining availability of different remediation actions that includes the corrosion remediation action or delaying a scheduled instance of the corrosion remediation action based on availability of the equipment.

Optionally, the method also includes determining upcoming growth in the corrosion in the equipment based on the one or more characteristics of the corrosion that are measured and forthcoming operational characteristics of the equipment, where the schedule is modified based also on the upcoming growth in the corrosion.

Optionally, the schedule of the corrosion remediation action for the equipment is modified to increase a time period between successive corrosion remediation actions in the schedule.

In one embodiment, a system includes one or more processors configured to obtain measurements of one or more characteristics of corrosion in equipment before and after implementation of a corrosion remediation action. The one or more processors also are configured to determine one or more of a change in the one or more characteristics of the corrosion between before and after implementation of the corrosion remediation action, one or more historical operational characteristics of the equipment, and/or one or more forthcoming operational characteristics of the equipment. The one or more processors are configured to modifying a schedule of the corrosion remediation action for the equipment based on one or more of the one or more characteristics of corrosion that are measured, the change in the one or more characteristics of the corrosion, the one or more historical operational characteristics of the equipment, and/or the one or more forthcoming operational characteristics of the equipment.

Optionally, the one or more processors are configured to determine a rate of change in the one or more characteristics of the corrosion as the change in the one or more characteristics of the corrosion, where the one or more processors are configured to modify the schedule based on the rate of change.

Optionally, the one or more processors also are configured to determine the one or more historical operational characteristics as one or more of previous settings of the equipment, previous speeds at which the equipment operated, previous temperatures in which the equipment operated, previous humidity levels in which the equipment operated, and/or previous amounts of dust in which the equipment operated. The one or more processors can be configured to modify the schedule based on the one or more historical operational characteristics of the equipment.

Optionally, the one or more processors are configured to modify the schedule of the corrosion remediation action also based on a limit on one or more of a fuel efficiency of the equipment, audible noise generated by the equipment, and/or emissions generated by the equipment.

Optionally, the one or more processors are configured to determine upcoming growth of the corrosion in the equipment based on the one or more characteristics of the corrosion that are measured and forthcoming operational characteristics of the equipment, where the one or more processors are configured to modify the schedule based also on the upcoming growth that is determined.

In one embodiment, a method includes measuring one or more characteristics of corrosion in equipment before and after implementation of a corrosion remediation action, determining a change in the one or more characteristics of the corrosion between before and after implementation of the corrosion remediation action, determining upcoming growth of the corrosion in the equipment based on the one or more characteristics of the corrosion that are measured and forthcoming operational characteristics of the equipment, and modifying a schedule of the corrosion remediation action for the equipment based on the upcoming growth of the corrosion that is determined and the forthcoming operational characteristics of the equipment.

Optionally, the method also includes implementing the corrosion remediation action on the equipment.

Optionally, the one or more characteristics of the corrosion in the equipment include one or more multi-dimensional characteristics of corrosion pits in the equipment.

Optionally, the method includes determining a rate of change in the one or more characteristics of the corrosion as the change in the one or more characteristics of the corrosion, and wherein the schedule is modified based on the rate of change.

This written description uses examples to disclose several embodiments of the subject matter set forth herein, including the best mode, and also to enable a person of ordinary skill in the art to practice the embodiments of disclosed subject matter, including making and using the devices or systems and performing the methods. The patentable scope of the subject matter described herein is defined by the claims, and may include other examples that occur to those of ordinary skill in the art. Such other examples are intended to be within the scope of the claims if they have structural elements that do not differ from the literal language of the claims, or if they include equivalent structural elements with insubstantial differences from the literal languages of the claims.