Abstract:
A method and system for determining a health of a metering system are provided. The metering system includes a meter base including a meter bus couplable between an electrical source and an electrical load, a plurality of sensors configured to determine electrical characteristics of electrical power in the meter bus, and a processor configured to execute at least one code segment. The code segments instruct the processor to determine revenue parameters for the metering system, determine at least one fault of a plurality of possible faults associated with the operation of the metering system using outputs from the plurality of sensors, the determination of the revenue parameters, and a processing fault generated by the processor, determine a severity level of each of the at least one faults, and determine a single value for a health of the metering system using the determined at least one fault.

Description:
BACKGROUND OF THE INVENTION 
       [0001]    The field of the invention relates generally to electricity meters, and more specifically, to a system and method for determining and indicating faults in an electricity meter. 
         [0002]    Currently, to identify a working status of an electronic energy meter or other energy-measuring device installed in the field, for example, whether the energy-measuring device is measuring accurately and/or reporting measurements accurately, a user, such as a meter reader is required to read various errors and cautions while logged into the meter using software or to visually check error/caution codes displayed on meter LCD and then interpret them based on documentation provided. Interpreting the meaning of the various combinations of errors and cautions may lead to inconsistent diagnosis of a health of the energy-measuring device. 
       BRIEF DESCRIPTION OF THE INVENTION 
       [0003]    In one embodiment, a system for determining a health of a metering system includes a meter base including a meter bus couplable between an electrical source and an electrical load, a plurality of sensors configured to determine electrical characteristics of electrical power in the meter bus, and a processor configured to execute at least one code segment. The code segments instruct the processor to determine revenue parameters for the metering system, determine at least one fault of a plurality of possible faults associated with the operation of the metering system using outputs from the plurality of sensors, the determination of the revenue parameters, and a processing fault generated by the processor, determine a severity level of each of the at least one faults, and determine a single value for a health of the metering system using the determined at least one fault. 
         [0004]    In another embodiment, a method of determining a health of a metering system includes receiving indication of at least one fault of a plurality of different possible fault types wherein the plurality of possible fault types include error faults and caution faults and wherein the error faults includes critical and non-critical severity levels and the caution faults include high, medium, and low severity levels. The method also includes determining a number of the at least one faults respective of a total number of the at least one faults supported by the metering system, weighting the severity of the at least one fault using the determined number and the plurality of different possible fault types, and determining a single value for a health of the metering system using the received indication, the determined number, and the weighted severity. 
         [0005]    In yet another embodiment, a computer program embodied on a computer-readable medium wherein the computer program includes at least one code segment that configures a processor to receive outputs from a plurality of sensors and determine revenue parameters for an energy metering system using the received outputs. The computer program also includes at least one code segment that configures a processor to determine at least one fault of a plurality of possible faults associated with the operation of the energy metering system using the received outputs, the determination of the revenue parameters, and a processing fault generated by the processor, determine a severity level of each of the at least one faults, and determine a single value for a health of the energy metering system using the determined at least one fault. 
     
    
     
       BRIEF DESCRIPTION OF THE DRAWINGS 
         [0006]      FIG. 1-7  show exemplary embodiments of the method and system described herein. 
           [0007]      FIG. 1  is a block diagram of an electricity meter  100  in accordance with an exemplary embodiment of the present invention; 
           [0008]      FIG. 2  is a data flow diagram for the electricity meter shown in  FIG. 1 ; 
           [0009]      FIG. 3  is a schematic block diagram of a portion of the meter shown in  FIG. 1  in accordance with an exemplary embodiment of the present invention; 
           [0010]      FIG. 4  illustrates an exemplary user interface for the display of the % Energy Meter Health algorithm in accordance with an exemplary embodiment of the present invention; 
           [0011]      FIG. 5  illustrates the user interface shown in  FIG. 4  for the display of a single value for a health of the meter in accordance with an exemplary embodiment of the present invention; 
           [0012]      FIG. 6  illustrates the user interface shown in  FIG. 4  for the display of a single value for a health of the meter in accordance with an exemplary embodiment of the present invention; and 
           [0013]      FIG. 7  illustrates the user interface for the display of a single value for a health of the meter in accordance with an exemplary embodiment of the present invention. 
       
    
    
     DETAILED DESCRIPTION OF THE INVENTION 
       [0014]    The following detailed description illustrates embodiments of the invention by way of example and not by way of limitation. It is contemplated that the invention has general application to analytical and methodical embodiments of interpreting fault codes, error codes, and/or caution codes generated by electronic equipment in industrial, commercial, and residential applications. 
         [0015]    As used herein, an element or step recited in the singular and proceeded with the word “a” or “an” should be understood as not excluding plural elements or steps, unless such exclusion is explicitly recited. Furthermore, references to “one embodiment” of the present invention are not intended to be interpreted as excluding the existence of additional embodiments that also incorporate the recited features. 
         [0016]    The present invention is described below with reference to figures and flowchart illustrations of systems, methods, apparatuses, and computer program products according to an embodiment of the invention. It will be understood that each block of the flowchart illustrations, and combinations of blocks in the flowchart illustrations, respectively, may be implemented by computer program instructions. These computer program instructions may be loaded onto a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions which execute on the computer or other programmable data processing apparatus create means for implementing the functions specified in the flowchart block or blocks. 
         [0017]    These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means that implement the function specified in the flowchart block or blocks. The computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions that execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart block or blocks. 
         [0018]    Accordingly, blocks of the flowchart illustrations support combinations of means for performing the specified functions, combinations of steps for performing the specified functions and program instruction means for performing the specified functions. It will also be understood that each block of the flowchart illustrations, and combinations of blocks in the flowchart illustrations, can be implemented by special purpose hardware-based computer systems that perform the specified functions or steps, or combinations of special purpose hardware and computer instructions. The inventions may be implemented through an application program running on an operating system of a computer. The inventions also may be practiced with other computer system configurations, including hand-held devices, multiprocessor systems, microprocessor based or programmable consumer electronics, mini-computers, mainframe computers, etc. 
         [0019]    Application programs that are components of the invention may include routines, programs, components, data structures, etc. that implement certain abstract data types, perform certain tasks or actions. In a distributed computing environment, the application program (in whole or in part) may be located in local memory, or in other storage. In addition, or in the alternative, the application program (in whole or in part) may be located in remote memory or in storage to allow for the practice of the inventions where tasks are performed by remote processing devices linked through a communications network. 
         [0020]    Embodiments of the present invention include energy meter reading software that can read various errors and cautions in generated by the energy meter, perform calculations on the allocated percentage for errors and cautions and generate a single value indicative measure for the energy meter that represents the “meter health” or “energy-measuring device health”. Such an indication of health facilitates quicker, more consistent decisions regarding a disposition of the meter or measuring device. Because there are various critical and non-critical combinations of device errors and cautions that can occur in meter, there is a possibility of misinterpretation of the status of the meter or measuring device if left to only the experience of, for example, a field engineer or meter reader. Quickly diagnosing a problem in a meter or measuring device that is measuring electricity revenue may mean a measurement that is more accurate and less of a loss of revenue for the owner of the meter or measuring device. 
         [0021]      FIG. 1  is a block diagram of an electricity meter  100  in accordance with an exemplary embodiment of the present invention. Meter  100  is coupled to a power source  102 , for example, three phase, alternating current (AC). Particularly, current sensors  104  and voltage sensors  106  are coupled to power source  102  and generate measures of current and voltage, respectively supplied to a load  107 . In addition, a power supply  108  and a revenue guard option board  110  also are coupled to power source  102 . 
         [0022]    Current and voltage measurements output by sensors  104  and  106  are supplied to an analog-to-digital (A/D) converter  112 . Converter  112 , in the exemplary embodiment, is an 8 channel delta-sigma type converter. Converter  112  is coupled to a processor or microcomputer  114 . In the illustrated embodiment, microcomputer  114  is a 32 bit microcomputer with 2 Mbit ROM, 64 Kbit RAM. A 32 kHz crystal  116  provides a timekeeping signal for microcomputer  114 . Microcomputer  114  is coupled to a flash memory  118  and a electronically erasable programmable (i.e., reprogrammable) read only memory (EEPROM)  120 . 
         [0023]    Meter  100  also includes an optical port  122  coupled to, and controlled by, microcomputer  114 . Optical port  122 , as is well known in the art, is used for communicating data and commands to and from an external reader to microcomputer  114 . Communications via port  122  are performed in accordance with ANSI C12.18 (optical port) and ANSI C12.19 (standard tables). A liquid crystal display  124  also is coupled to microcomputer  114  via an LCD controller  126 . In addition, an option connector  128 , coupled to microcomputer  114 , is provided to enable coupling option boards  130  (e.g., a telephone modem board  132  or an RS-232 line  134 , or a simple input/output (I/O) board  136  or a complex I/O board  138 ) to microcomputer  114 . Option connector  128  also includes a sample output  140 . When configured to operate in a time-of-use mode, a battery  142  is coupled to power source  102  to serve as a back-up to maintain date and time in the event of a power outage. 
         [0024]      FIG. 2  is a data flow diagram  200  for electricity meter  100  (shown in  FIG. 1 ). As illustrated by  FIG. 2 , quantities such as watt hours per phase (WhA, WhB, WhC) as well as other quantities are determined by microcomputer  114 . These quantities are sometimes referred to herein as internal quantities  202 . Microcomputer  114  then uses the pre-defined or user-selected functions F(n) to calculate a set of quantities (referred to as calculated quantities  228 ). Microcomputer  114  then uses the measurement profile  204  to select up to 20 quantities to store as user-selected quantities. In addition, external inputs  206  can be specified to be accumulated by measurement profile  204 . In the embodiment shown in  FIG. 2 , up to four external inputs (E 1 , E 2 , E 3 , E 4 ) are collected. These may also be scaled by programmed multipliers and divisors. 
         [0025]    User-selected quantities  230  specified by measurement profile  204  can be used to perform totalization. For example, a value from a register location in user-selected quantities  230  (e.g., register  7 ) can be added to a value stored in a register location (e.g., register  17 ) to provide a totalized value, and the totalized value is stored in a register location (e.g., register  17 ). In the embodiment illustrated in  FIG. 2 , up to 8 totalizations can be performed. 
         [0026]    Also in the embodiment shown in  FIG. 2 , five demand values (locations  0 - 4 )  210  can be calculated from the quantities in user-selected quantities  230 . The values to use for the demand calculations are specified by the demand select. Each demand value may have up to two coincident demands  212 ,  214  per demand  210 . The coincident demands are specified by the coincident select. A coincident demand value may be another one of the selected demands, or the quotient of two selected demands. An average power factor  222  is stored in numerator and denominator form. Time-of-use summaries (A-D)  216  for the selected demands are also available in a time-of-use meter. Up to 20 quantities can be recorded in load profile data  218 . The quantities to be recorded are specified by the load profile select. Up to five summations  226  can be calculated. The quantities to be calculated are specified by the summations select. Time of use summaries (A-D)  216  for the selected summations are also available in a time-of-use meter. Data accumulations  224 , summations  226 , demands  210  coincident demands  212 ,  214 , and time-of-use summaries  216  may be selected for display  124  on the meter&#39;s LCD. 
         [0027]    Meter  100  can be programmed by an operator, e.g., a utility, so that meter  100  determines desired quantities, regardless of whether that quantity is a common, IEEE-defined value such as apparent volt-ampere-hours, or a quantity used only by a particular utility. Generally, a momentary interval is defined as 60 cycles (for 60 Hz installations) or 50 cycles (for 50 Hz installations) of the fundamental voltage frequency. Known meters calculate a pre-defined set of quantities from the basic quantities every momentary interval. These quantities include total watt-hours (fundamental plus harmonics), apparent volt-ampere-hours, and arithmetic apparent volt-ampere hours. These quantities are summed by the minute. One-minute accumulations of data are stored in a structure called the minute first-in, first-out (FIFO) register. An example of the structure of a minute FIFO is illustrated below. [embedded image not shown] 
         [0028]    Data is retrieved from the minute FIFO and added to other accumulators, from which summations (e.g. total kilowatt-hours), demand calculations (e.g. maximum kilowatt demand), and load profile recording operations are performed. 
         [0029]    Typically there is very little flexibility provided by electricity meters in how the momentary interval basic quantities are processed to generate the revenue quantities that are of interest to utilities. A user may, for example, select from several pre-defined quantities that are computed every momentary interval, and the user may select the length of the demand interval or subinterval and the length of the load profile interval. 
         [0030]    In contrast, meter  100  enables a user to define methods of data calculations at all points in the data processing sequence, e.g., at the end of a momentary interval, at the end of a minute, at the end of a demand (sub)interval, and at the end of a load profile interval. 
         [0031]    In another embodiment, code is downloaded into an external flash memory, and then a measurement profile is programmed to use the calculation specified by the code. Vectors are used to update and perform a list of tasks in ROM, or are replaced by versions in flash memory for other function blocks. 
         [0032]    In the exemplary embodiment, meter  100  monitors its operation and the execution of software and generates fault indications that are used to provide a single value output to provide a meter health indicator. The fault indications include at least indications of errors and indications of cautions wherein the indications of errors indicate a fault relatively more severe to the operation of meter  100  than the indications of cautions. The single value output is determined using, for example an algorithm such as the algorithm described below. 
         [0033]    Terms used in the meter health algorithm are defined below as: 
         [0000]    
       
         
               
             
               
               
             
               
             
               
               
             
               
             
               
               
             
               
             
               
               
             
               
             
               
               
             
               
             
               
               
             
               
             
               
               
             
               
             
               
               
             
               
             
               
               
             
               
             
               
               
             
               
               
             
           
               
                   
               
             
             
               
                 X= Number of Critical errors that have occurred in meter 100 (If X is &gt;0 then X=1 
               
             
          
           
               
                   
                 else X =0), 
               
             
          
           
               
                 Y= Number of Non-critical errors that have occurred in meter 100 (If Y is &gt;0 then 
               
             
          
           
               
                   
                 Y=1 else Y=0), 
               
             
          
           
               
                 A = Number of High Severity Cautions that have occurred in meter 100 (If A is &gt;0 
               
             
          
           
               
                   
                 then A=1 else A=0), 
               
             
          
           
               
                 B = Number Of Medium Severity Cautions that have occurred in meter, 
               
               
                 C = Number Of Low Severity Cautions that have occurred in meter, 
               
               
                 Bt = Total Number Of Medium Severity Cautions supported by meter 100, 
               
               
                 Ct = Total Number Of Low Severity cautions supported by meter 100, 
               
               
                 Ep = % contribution of all errors in meter health, 
               
               
                 Cp = % contribution of all cautions in meter health, wherein 
               
             
          
           
               
                   
                 Ep and Cp are predetermined, for example, by meter design engineers 
               
               
                   
                 based on various factors, such as, but not limited to, a fault that causes 
               
               
                   
                 an incorrect energy consumption data recording in the device or a fault 
               
               
                   
                 that causes a change in internal device configuration due to an impact 
               
               
                   
                 from an external environmental condition or a fault generation in the 
               
               
                   
                 device hardware or a possible defect in a firmware application that is 
               
               
                   
                 executing in the metering device that causes the metering device to 
               
               
                   
                 generate either an error or a caution in the metering device. 
               
             
          
           
               
                 Xce = % contribution (weight) for critical errors 
               
               
                 Ynce = % contribution (weight) for Non-Critical errors 
               
               
                 Xc = (Xce /100) * Ep, 
               
             
          
           
               
                   
                 Xc is an engineering constant derived from a total contribution of 
               
               
                   
                 meter health due to critical errors. 
               
             
          
           
               
                 Ync = (Ynce / 100) * Ep 
               
             
          
           
               
                   
                 Ync is an engineering constant derived from a total contribution of 
               
               
                   
                 meter health due to non-critical errors. 
               
             
          
           
               
                 Ach = % contribution (weight) for high severity cautions 
               
               
                 Bcm = % contribution (weight) for medium severity cautions 
               
               
                 Ccl = % contribution (weight) for low severity cautions 
               
               
                 Ah = (Ach / 100) * Cp 
               
             
          
           
               
                   
                 Ah is an engineering constant derived from total contribution of meter 
               
               
                   
                 health due to high severity cautions 
               
             
          
           
               
                 Bm = (Bcm /100) * Cp 
               
             
          
           
               
                   
                 Bm is an engineering constant derived from total contribution of meter 
               
               
                   
                 health due to medium severity cautions 
               
             
          
           
               
                 Cl =(Ccl /100) * Cp 
               
             
          
           
               
                   
                 Cl is an engineering constant derived from total contribution of meter 
               
               
                   
                 health due to low severity cautions. 
               
             
          
           
               
                 % Energy Meter Health = 
               
             
          
           
               
                   
                  [1 − [(X * Xc) + (Y * Ync) + (A * Ah) + (B * Bm/Bt) + (C * Cl) / Ct]] * 100 
               
             
          
           
               
                   
                 % Energy Meter Health is a determination of a single value output that 
               
               
                   
                 provides an indication of a health of meter 100. % Energy Meter 
               
               
                   
                 Health facilitates eliminating various human interpretations for various 
               
               
                   
                 working conditions of meter 100 because of a plurality of possible 
               
               
                   
                 combinations of critical and non-critical errors and cautions. The 
               
               
                   
                 weighting of the criticality of the different possible faults and the 
               
               
                   
                 number of possible faults compared to the number available provides a 
               
               
                   
                 normalized single value to aid diagnosing whether meter 100 should be 
               
               
                   
                 replaced immediately, reprogrammed, or other disposition. 
               
               
                   
                   
               
             
          
         
       
     
         [0034]      FIG. 3  is a schematic block diagram of a portion of meter  100  in accordance with an exemplary embodiment of the present invention. In the exemplary embodiment, meter  100  includes a plurality of bit registers  300  that each are associated with one fault of a plurality of possible faults associated with meter  100 . The plurality of faults being indicative of a health of meter  100 . However, each of the faults may be more or less severe to the health of meter  100  than others of the plurality of possible faults. For example, some faults may represent errors  302  and some faults may represent cautions  304  relating to the operation of meter  100 , which in the exemplary embodiment are less severe than the errors. Additionally, errors  302  are further divided into critical errors  306  and non-critical errors  308 . Cautions  304  are also divided into high severity cautions  310 , medium severity cautions  312 , and low severity cautions  314 . Each bit of register  300  is read periodically by microcomputer  114  to determine a status of the bit. Alternatively, each bit of register  300  is read periodically by a processor  316  separate from microcomputer  114 , in which case processor  316  and microcomputer  114  are communicatively coupled. Additionally, a change in a bit may cause an interrupt or initiate another process that indicates to processor  316  or microcomputer  114  that one of the bits of registers  300  has changed. Processor  316  is communicatively coupled to an output module  318 . Output module  318  may be embodied in software or may be a hardware module, such as a display or transmitter, or may be a combination thereof, for example a software driver associated with a display. 
         [0035]    During operation, meter  100  is coupled to, for example, a three phase, alternating current (AC) power source  102  and load  107 . Current sensors  104  and voltage sensors  106  generate signals representative of revenue parameters that are computed by microcomputer  114 . When one or more faults including, for example, a fault that causes an incorrect energy consumption data recording, a change in internal metering system configuration due to an external environmental condition, a fault generation in the metering system hardware, or a firmware application error are detected in meter  100 , one or more of the bits in registers  300  are set. As processor  316  executes the % Energy Meter Health algorithm, a new value for % Energy Meter Health is determined and output for use by downstream processes or a user. % Energy Meter Health algorithm may also be only initiated manually by a user in response to an input from the user. The % Energy Meter Health may be used to generate aural or visual indicators or warnings such as, but not limited to a noise associated with the % Energy Meter Health or illuminating a light and/or displaying a text block. Moreover, the combinations of the set bits or the determined faults may be used to generate aural and/or visuals warnings directly. 
         [0036]      FIG. 4  illustrates an exemplary user interface  400  for the display of the % Energy Meter Health algorithm in accordance with an exemplary embodiment of the present invention. In the exemplary embodiment, a data tab  402  is used to select a display of % Energy Meter Health algorithm parameters. A parameter identification for the different types of faults is listed in a first column  404 . A second column  406  indicates a total number of each type of fault is supported by the particular meter  100 . A third column  408  indicates the number of faults of each type that has occurred in meter  100 . A field  410  corresponds to a total number of different critical errors supported by meter  100  and currently indicates that meter  100  supports five critical errors. A field  412  corresponds to term X and indicates that meter  100  has experienced zero critical errors. Similarly, a field  414  corresponds to a total number of different non-critical errors supported by meter  100 , a field  416  corresponds to a total number of high severity cautions supported by meter  100 , a field  418  corresponds to the term Bt in the % Energy Meter Health algorithm described above, a field  420  corresponds to the term Ct in the % Energy Meter Health algorithm described above, a field  422  corresponds to term Y, a field  424  corresponds to term A, a field  426  corresponds to term B, and a field  428  corresponds to term C. 
         [0037]    A lower portion  430  of data tab  402  includes fields for other values of terms of the % Energy Meter Health algorithm. For example, a field  432  corresponds to term E p , a field  434  corresponds to term C p , a field  436  corresponds to term Xce, a field  438  corresponds to term Ynce, a field  440  corresponds to term Ach, a field  442  corresponds to term Bcm, and a field  444  corresponds to term Ccl. 
         [0038]    User interface  400  may be controlled by a program code residing on meter  100  or on a remote processing device (not shown) communicatively couplable to meter  100 . User interface  400  reads % Energy Meter Health algorithm parameters from meter  100  and populates the fields shown in  FIG. 4 . Using the values of the parameters the % Energy Meter Health algorithm determines the single value representing the health of meter  100 . 
         [0039]      FIG. 5  illustrates user interface  400  for the display of a single value for a health of meter  100  in accordance with an exemplary embodiment of the present invention. In the exemplary embodiment, a graph tab  502  is used to display the single value for a health of meter  100 . In a first field  504  the single value for a health of meter  100  is expressed as a percentage value wherein 100% represents that meter  100  is in good health and no corrective actions are warranted. A field  506  illustrates the single value for the health of meter  100  as a bar graph to visually aid a user in quickly recognizing the health of meter  100 . The bar graph may be color-coded to assist a user in identifying a status of meter  100 . A field  508  displays a recommendation for a corrective action associated with the single value for the health of meter  100  as displayed in fields  504  and  506 . 
         [0040]      FIG. 6  illustrates user interface  400  for the display of a single value for a health of meter  100  in accordance with an exemplary embodiment of the present invention. In the exemplary embodiment, graph tab  502  is associated with field  424  containing a “1” value, field  426  containing a “1” value, and field  428  containing a “2” value. In first field  504  the single value for a health of meter  100  is 85%. Field  506  illustrates the single value for the health of meter  100  as a bar graph representing 85%. The bar graph may be color-coded to assist a user in identifying a status of meter  100 . Field  508  displays a recommendation for a corrective action associated with the single value for the health of meter  100  as displayed in fields  504  and  506  as being a recommendation to reprogram or to reset meter  100 . 
         [0041]      FIG. 7  illustrates user interface  400  for the display of a single value for a health of meter  100  in accordance with an exemplary embodiment of the present invention. In the exemplary embodiment, graph tab  502  is associated with field  412  containing a “1” value and field  422  containing a “1” value. In first field  504  the single value for a health of meter  100  is 15%. Field  506  illustrates the single value for the health of meter  100  as a bar graph representing 15%. The bar graph may be color-coded to assist a user in identifying a status of meter  100 . Field  508  displays a recommendation for a corrective action associated with the single value for the health of meter  100  as displayed in fields  504  and  506  as being a recommendation to replace meter  100 . 
         [0042]    The term processor, as used herein, refers to central processing units, processors, microprocessors, microcontrollers, microcomputers, reduced instruction set circuits (RISC), application specific integrated circuits (ASIC), logic circuits, and any other circuit or processor capable of executing the functions described herein. 
         [0043]    As used herein, the terms “software” and “firmware” are interchangeable, and include any computer program stored in memory for execution by processor  316  and/or microcomputer  114 , including RAM memory, ROM memory, EPROM memory, EEPROM memory, and non-volatile RAM (NVRAM) memory. The above memory types are exemplary only, and are thus not limiting as to the types of memory usable for storage of a computer program. 
         [0044]    As will be appreciated based on the foregoing specification, the above-described embodiments of the disclosure may be implemented using computer programming or engineering techniques including computer software, firmware, hardware or any combination or subset thereof, wherein the technical effect is for receiving a plurality of fault indications relating to the operation of an electricity revenue meter and generating a single value for a health of the meter. The single value is used to facilitate quickly determining a course of action for returning the meter to service if necessary. Any such resulting program, having computer-readable code means, may be embodied or provided within one or more computer-readable media, thereby making a computer program product, i.e., an article of manufacture, according to the discussed embodiments of the disclosure. The computer-readable media may be, for example, but is not limited to, a fixed (hard) drive, diskette, optical disk, magnetic tape, semiconductor memory such as read-only memory (ROM), and/or any transmitting/receiving medium such as the Internet or other communication network or link. The article of manufacture containing the computer code may be made and/or used by executing the code directly from one medium, by copying the code from one medium to another medium, or by transmitting the code over a network. 
         [0045]    The above-described embodiments of a method and system of determining a health of a metering system provides a cost-effective and reliable means for eliminating interpretative differences by different users for symptoms or faults displayed by the meter. As a result, the method and system described herein facilitate early detection of fault conditions and remediation of the meter failures represented by those fault conditions in a cost-effective and reliable manner. 
         [0046]    This written description uses examples to disclose the invention, including the best mode, and also to enable any person skilled in the art to practice the invention, including making and using any devices or systems and performing any incorporated methods. The patentable scope of the invention is defined by the claims, and may include other examples that occur to those skilled 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.