Decision Support
Analytics

Over 60 years of proven Bently Nevada machineand process problem-solving is now embedded
in powerful new software plug-ins which
continuously perform analytics and diagnostics
covering an extensive range of equipment.
Modern industrial operations have an overwhelming quantityof data, and it’s impossible for staff to continuously monitor
and analyze machinery conditions. Unfortunately, genericanalytics tools often provide insufficient diagnostics for
specialized machines, and many analytic offerings do notallow experts to access and alter the algorithms to meetspecific requirements. In addition, it is difficult to correlatediagnostic results with data in disparate historian platforms
lacking high-resolution, time-synchronized data.
Decision Support Analytics changes all that.

Each analytic can be applied to specific machines within
the System 1 platform to perform continuous real-time data
analysis to detect early changes in machine behavior andidentify targeted failure modes. It doesn’t just raise red flags.
Decision Support analytics diagnose malfunctions by using
machine configuration information, real-time data, andasset operating states.
Results can be visualized, trended, and annunciated within
System 1. Alarm notifications are available via email andmay be shared via open protocols such as OPC UA. Decision
Support Analytics can aid root-cause diagnostics bycorrelating its results with high-resolution data within theSystem 1 database.
Decision Support Analytics cover a wide range of assets
including rotating machines with fluid-film bearings,
reciprocating machines, auxiliary systems, and common
processes.

System 1Machine
dataAcquire

Analytics allow staff
to use their time
more efficiently

Process

Decision SupportAnalyticsAnalyze

Diagnose
Failure mode
detection

Operations
dataDecision Support analytics perform real-time analysis and diagnostics to detect failure modes

Analytics for rotating assets with fluid-film bearings• Centrifugal compressors• Axial compressors• Speed increasing/decreasing gearboxes• Electric motors• Integral gear compressors• Industrial gas turbines• Aeroderivative gas turbines• Power turbines• Pumps• Blowers• Fans• Generators• Steam turbines

With appropriate instrumentation, diagnostics include:• Radial preload• Stall• Fluid-induced instability• Gear mesh• High synchronous vibration• Blade pass

• Rotor runout• Combustor rumble• Sub and Super synchronous rubs

• High exhaust/high differential
exhaust temperatures• Misalignment• Rotor bow• Surge• Electric motor non-uniform airgap• Pump cavitation

Analytics for reciprocating assets
This Decision Support Analytic covers API type compressors in the services ofhydrogen, flare gas, LDPE, or natural gas. With appropriate instrumentation,diagnostics include:• Crosshead pin loading• Suction/discharge valve leaks• Frame loading• Leak—cylinder to low pressure• Pressure packing leaks• Leak—high pressure to cylinder

Rules for auxiliary systems
Decision Support Analytics include diagnostics for two types of dry gas seals usedin centrifugal compressors: tandem, and tandem with intermediate labyrinth.
Diagnostics include:• Bearing oil migration• Secondary seal failure• Low seal gas DP• Secondary seal gas flow problem• Low seal gas temperature• Separation seal gas flow problem• Low secondary seal gas temperature• Seal gas booster fouled filter• Low separation seal gas DP• Seal gas fouled filter• Primary seal failure• Secondary seal gas fouled filter• Seal gas flow problem• Separation seal gas fouled filter• Secondary or separation seal failure

Stay tuned for more diagnostics

Methodology
System 1
Decision Support Analytic

Configured
properties

Measurements

Configured
properties examples:

Measurement
examples:• Design speed/
lower and upper
speed limits• Speed• First balanceresonance• Rotor rotation
direction• Bearing clearance• Maximum andnominal bearing
temperature• Temperature• Vibration: direct
values, 1x and
2x amplitude
and phase,
gap, nx bands• Pressure

Extractions

Extracted asset
values for modelbased analytics
examples:Bearing level• Bearingtemperature ratio• Maximum direct
amplitude ratio

Intelligence

Diagnostics

Embedded subject
matter expertise:

Diagnostic results
examples:• Decision trees• Radial preload• Logic• Physical andoperational limits• Etc.

• Fluid inducedinstability• High synchronous
vibration

Notifications

Notifications
Diagnostic results
are identified via
System 1 EventManager, email
notifications, or OPC
UA alarm events• Rotor runout• Sub and supersynchronous rubs

Rotor level• Misalignment• Slow-rollthreshold ratio• Rotor bow• Primary sealfailure• Slow-roll
amp ratio• Relative phase
Asset level• Inlet volume ratio• Design pressureratio• Measured
pressure ratio

Benefits

Support• Automatically detect failure modes

In addition to installation, we provide a full range of support
services to ensure you get the most value from your Decision
Support Analytics:• Maximize your plant availability• Support existing maintenance strategies• Mitigate your operational risks• Extend the life of your assets• Reduce time spent for root-cause analysis• Utilize existing sensor data
• Gain new insight into equipment and process behavior• Installation and configuration• Training• Optimization• Customization to meet corporate best practices• Supporting service agreements• Leverage System 1’s core capabilities such as
notifications and plotting

Copyright 2022 Baker Hughes Company. This material contains one or more registeredtrademarks of Baker Hughes Company and its subsidiaries in one or more countries. All
third-party product and company names are trademarks of their respective holders.
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