The initial installation of a condition monitoring system (CMS) on a utility scale wind turbine produced a number of unexpected results. The CMS was installed on the TechnoCentre éolien Repower MM92. The installation allowed testing of a MEMS (microelecctromechanical system) based sensor technology and allowed and in-depth analysis of vibration data and revolutions per minute (RPM) data. A large 3/revolution effect, due to tower shadow and wind shear, required the development of an enhanced time synchronous average algorithm. The ability to easily measured changes in main rotor RPM, as a result of tower shadow and wind shear phenomenology, may also facilitate the detection of icing or blade pitch error.
How to Cite
condition monitoring, Wind Turbine, time synchronous average, wind shear
McFadden, P., (1987). “A revised model for the extraction of periodic waveforms by time domain averaging”, Mechanical Systems and Signal Processing 1 (1), pages 83-95.
Bechhoefer, E., Morton, B., (2012). “Condition Monitoring Architecture to Reduce Total Cost of Ownership”. IEEE PHM Conference, Denver.
Dolan, D., Lehn, R., (2006). “Simulation Model of Wind Turbine 3p Torque Oscillation due to Wind Shear and Tower Shadow”, IEEE Transaction on Energy Conversion, VOL. 21, NO. 3.
Bechhoefer, E., Kingsely, M., (2009) “A Review of Time Synchronous Average Algorithms”, Annual Conference of the Prognostics and Health Management Society.
McFadden, P.D. (1986). Detecting Fatigue Cracks in Gear by Amplitude and Phase Demodulation of the Meshing Vibration. ASME J. of Vibration, Acoustics, Stress, and Reliability in Design 108, 165-170.
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