Peter Surland
Transcription
Peter Surland
Content Hydro Monitoring Technics Potential failure modes Sensor location overview Generator potential failure modes Physical measurements Adaptive monitoring strategy Profile monitoring Wind turbine Monitoring Remote Monitoring Conclusion to small generator monitoring Hydro Monitoring Strategy: Techniques Available Potential Failure Modes: Generator • • Electrical Thermal/Mechanical Potential Failure Modes: Electrical • Stator winding faults • Shorted turns in the rotor • Over-excitation • Over-voltage • Loss of field • Unbalanced currents • Abnormal frequency Monitoring techniques: • Air gap • Magnetic flux • PDA • Vibration, SBV, core, windings • Temperature • Voltage, current Potential Failure Modes: Thermal/Mechanical • Overheating • Uneven thermal expansion • Misalignment • Unbalance • Defective rotor rim • Stator/rotor deformation • Loose stator hold-down bolts • Wedge loosening Monitoring techniques: • Air gap • Vibration, displacement • Temperature Air Gap and Magnetic Flux Sensor mounting Stator Air gap Magnetic flux Vibration Monitoring: Sensor Configuration-typical Relative Shaft Vibration Absolute Case Vibration Upper Generator Bearing Lower Generator Bearing Thrust Bearing Turbine Bearing Failure modes: What can be detected with a smaller system? Adaptive monitoring strategy: Machine state detection Transient machine states Automatic detection of machine states Adaptive monitoring strategy: The right measurement in the background Adapted measurements Different machine states demand different measurements Adaptive monitoring strategy: Profile monitoring Scalar Value Standard Monitoring (scalar vs. time) Overall Alert High Overall Alert Low Reference Measured Signal Time No Alarms Generated Profile Monitoring (scalar vs. rpm) Scalar Value Profile Alert High Reference Profile Alert Low Measured Signal RPM Alarms Generated Scalar values during run up – Limits varies with speed Adaptive monitoring strategy: Profile monitoring Shaft centerline during run up – Alarm limits vary with speed Wind turbine monitoring • • • • Monitoring with Vibration signatures – Absolute casing LF & HF vibrasion Rotor with Main bearings – Rolling element bearing failures – Shaft failures – Gearbox failures Generator bearing vibration – Bearing and shaft failures – Electrical failures Process parameters – Power – Windspeed – Ambient temperature – Bearing temperature Absolute Case Vibration Wind turbine monitoring A wind turbine has a complex vibration pattern due to: Continuously changing operational parameters Low rotational speeds Complex structure of the gearbox Not rigid fundament Very high and changing dynamic forces Therefore a dedicated well tested vibration monitoring system for the actual wind turbine application is needed vibration vs. time vibration vs. power 0,12 0,12 RMS 1 low RMS 1 high 0,1 0,1 0,08 g rm g rms 0,08 0,06 0,06 t t t t t t t t t t t t t t t t t t t t p p p p p p p p p p p p p p p p p 0 p 0,02 0 p 0,02 p 0,04 m 0,04 Conclusion Monitoring principle for small power generators: 1. Vibration signatures are the most importent 2. Process parameters are needed for operating conditions 3. Remote monitoring is needed when the expert knowledge is missing - especially for wind turbines Thank You