Initial Condition Monitoring Experience on a Wind Turbine
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.
The Prognostic and Health Management Society advocates open-access to scientific data and uses a Creative Commons license for publishing and distributing any papers. A Creative Commons license does not relinquish the author’s copyright; rather it allows them to share some of their rights with any member of the public under certain conditions whilst enjoying full legal protection. By submitting an article to the International Conference of the Prognostics and Health Management Society, the authors agree to be bound by the associated terms and conditions including the following:
As the author, you retain the copyright to your Work. By submitting your Work, you are granting anybody the right to copy, distribute and transmit your Work and to adapt your Work with proper attribution under the terms of the Creative Commons Attribution 3.0 United States license. You assign rights to the Prognostics and Health Management Society to publish and disseminate your Work through electronic and print media if it is accepted for publication. A license note citing the Creative Commons Attribution 3.0 United States License as shown below needs to be placed in the footnote on the first page of the article.
First Author et al. This is an open-access article distributed under the terms of the Creative Commons Attribution 3.0 United States License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.