Download - Health Monitoring of Wind Turbines - Wichita
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Health Monitoring of Wind Turbines
• Jim Steck
• Walter Horn
• Janet Twomey
• Zach Kral
• Seyed Niknam
• Morteza Assadi
• Gigi Phan
• Jordan Jensen Supported by the U.S. Department of EnergyDOE DE-FG36-08GO88149
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GOALS
•Detect Wind Turbine Health
•Perform Maintenance only When Needed Condition Based Maintenance
•Reduce Costs and Downtime
•Predict Remaining Useful Life
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MOTIVATION(not a new idea)
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Space Flight
• NASA – Spacecraft Telemetry
• Astronaut – Health Monitoring
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Vehicle Health Monitoring
• Navy – Ship systems monitoring
• DOD – Joint Strike Fighter
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Aircraft Structural Health Monitoring
• Scheduled structural inspection
• Critical interior parts can cost $80,000 just to inspect
Hawker 800Cessna Citation
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Active Corrosion Detection
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Wind Turbine Bearings
• SKF WindCon 3.0 (www.skf.com)– Vibration monitoring for online condition monitoring– automatic lubrication
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Diagnostics
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TECHNOLOGIESFOR STRUCTURAL HEALTH
MONITORING
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Acoustic Emission (Passive)• Physical Acoustics Corporation
(MISTRAS is parent company)
– Growing cracks emit PINGS
• Detect with acoustic sensors
• Filter to isolate crack pings
• Artificial Intelligence to predict crack growth and remaining useful life as it happens
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Active Ultrasonic
• Acellent Corporation
– Emit acoustic pulses that travel through structure
– Detect baseline healthy structure
– Continually monitor and compare to detectdamage
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CURRENT WORK
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Crack Detection in Metals
• Acoustic emission and active ultrasonic
• Static pull of cracked test article to failure
Acoustic EmissionSensorsEdge Crack
Crack
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Crack Length Prediction
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0 200 400 600 800 1000Time (sec)
NN
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a (in
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0 100 200 300 400 500 600 700 800 9000
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ck le
ngth
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Average Crack Length
0 100 200 300 400 500 600 700 800 900-500
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(lb)
Crack SizeLoading
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Active Damage Detection
Artificial Intelligence to automate wave analysis with multiple sensors Damage
Detected
Baseline (no damage) With damage
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Damage Detection in Composites
• Acoustic emission and active ultrasonic
• Material is more complex
– Fiber breakage
– Epoxy matrix failure
– Delamination
• AI tools for signal processing
• Determining failure location and severity
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Ongoing Composite Testing
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Bearing and Shaft Wear
• Acoustic Emission sensors and vibration sensors on bearing housing
• Bearing shaft test rig – Accelerated degradation
– High temperature
– High humidity
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Future Tasks
• Investigate integrating sensors into the blade structure
• Identify appropriate sensors for in-servicemonitoring
• Develop system reliability model
• Develop diagnostic and prognostic tools