Prognostic Health Management PHM System for use in monitoring blade vibration'

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Prognostic Health Management (PHM) System for use
in monitoring blade vibration.

• Agilis Measurement Systems, Inc.

2nd Joint EVI-GTI / PIWG International Gas
Turbine Instrumentation Conference 2008
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Content

• Current capability experience
• System configuration
• Probes and Signal conditioning
• Blade Health monitoring outputs
• Blade tip timing with Analogue signal analysis

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Agilis Blade Health Monitoring Capability

• Every Probe sensing Every Blade on Every
  Revolution
• FOD detection
• Flutter detection
• Crack detection
• Resonant response measurement and cycle counting
• Determination of long-term trends for use in
  Prognostic Forecasting
• Provide a knowledge based determination of
  inspection / maintenance interval
• Provide data leading to root cause solution of
  HCF problems

Data Collection Event Detection Event Trending
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Agilis Health Monitoring Experience

• Demonstrated crack detection capability
• The Agilis PHM system has recently completed a
  series of rigorous crack detection studies.  The
  system demonstrated the ability to detect a crack
  in a rotating blade which is on the threshold of
  detectability for manual die penetrant methods.
• Systems currently in operation
• A development system is currently in operation
  monitoring the blades of an industrial
  centrifugal compressor
• Several industrial gas turbine compressor and
  turbine test applications have been completed
• Steam turbine testing currently on-going

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AMS 8000 PHM System Configuration overview
Outside Environment
Signal Conditioning Module
Ethernet Communications Status Alarm to
Customer Remote Control
Sensor Extension Breakout Enclosure
Sensor Cable Conduit 6 Meters Max
Control Room Environment
Sensor 8 Plcs Up to 4 stages
Purge Air Input
DAQ Computer with AMS HM Software
Conditioned Signal Cable Conduit
Facility or UPS Power Input Conduit
Data collection - Event Detection - Event
Trending
Every Probe sensing Every Blade on Every
Revolution
Sensing (Conditioning) Processing
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Blade Health Monitoring Probe Types and Number
Probe types Eddy Current Capacitive
Optical / RF Probe numbers
Synchronous Non-Sync 1 Knowledge of
frequency Knowledge of frequency range 2
Knowledge of engine order Knowledge of frequency
range 3 Knowledge of engine order Improved
frequency solution Less Assumptions 4
Single frequency solution Frequency Nodal
diameter calculation gt4 Multiple Frequency
Solution Frequency Nodal diameter calculation
Every Probe sensing Every Blade on Every
Revolution 8 probes and up to 4 stages
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Blade Health Monitoring Probe Signal Conditioning
1
2
Every Probe sensing Every Blade on Every
Revolution
1
2
Over conditioning of blade passing sensor may
result in serious loss of blade passing event
information. Important - Raw data is time of
arrival
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Blade Health Monitoring System Outputs
Steady state blade position relative to baseline
Variation in blade static position can be caused
by Crack formation, FOD Impact or Rubs
Red and Yellow limit checking
The analysis and limit checking is done in
real-time with limit excursions triggering user
definable actions ( Send Alert to Control System,
Record data)
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Non-Synchronous Vibrations
Blade Health Monitoring System Outputs
Traveling Wave Analysis System response
characterization and monitoring
Individual Blade Analysis Steady state frequency
and amplitude monitoring
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Non-Synchronous VibrationsFlutter Monitor -
Limits Exceeded
Blade Health Monitoring System Outputs
The analysis and limit checking is done in
real-time with limit excursions automatically
enabling user defined actions ( Send Alert to
Control System, disable hardware, record data).
Trending data recorded at user definable rate
for prognostic analysis.
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Synchronous Vibration Raw Data
Blade Health Monitoring System Outputs
Time Domain Deflections
RPM Mapped Resonant Responses
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Blade Health Monitoring System Outputs
Resonant Frequency Shift - Baseline Comparison
Analysis Correlate current data with a previously
measured baseline to detect very small changes in
blade resonant frequencies
Current Data
Baseline
Aligned
lt 0.05 Frequency Shift
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Synchronous Vibration Analysis 4 or more probes
Blade Health Monitoring System Outputs
All blades Amplitude and Phase measurement
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New Blade Tip Timing with Analog Signal Analysis

• Provides a high end analysis capability for any
  type of sensor output signal (strain gage,
  dynamic pressure, accelerometer), incorporated
  into the tip timing analysis software.
• Provides a powerful analysis tool for study of
  complex phenomena.
• Allows for easy analogue signal source and tip
  timing correlations

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New Blade Tip Timing with Analog Signal Analysis

• Provides a high end analysis capability for any
  type of sensor output signal (strain gage,
  dynamic pressure, accelerometer), incorporated
  into the tip timing analysis software.
• Provides a powerful analysis tool for study of
  complex phenomena.
• Allows for easy analogue signal source and tip
  timing correlations

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Agilis Measurement Systems, Inc.
Providing accurate and complete blade vibration
analysis
Now providing Prognostic Blade Health Management
Systems
Question time