Fault Diagnosis Platform Development Based on Wavelet Transform for Wind Turbines Transmission System

Abstract:

Wind turbine transmission system with complex structure and abundant fault features, also the fault features are variable, three typical fault and failure forms of rolling bearings, shafts and gears in wind turbine drive train were analyzed, also the failure mechanism and corresponding vibration signal characteristics was proposed. In the wind turbines transmission system, the vibration signal can reflect most of the fault information, as there was non-stationary signals in the vibration signals and wavelet transform for feature extraction was proposed. The whole framework of the fault diagnosis platform was constructed, the lower machine based on the measurement unit and the PC based host computer diagnosis system was designed, the diagnosis system was powerful and easily cut, which was strong help to the fault character extraction, also it was practical and available for wind turbine fault diagnosis.

• Periodical: Applied Mechanics and Materials (Volumes 333-335)
• Pages: 632-635
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.333-335.632
• Online since: July 2013
• Authors: Zhao Ran Hou, Wu Wang
• Keywords: Fault Diagnosis Platform, Vibration Feature Extraction, Wavelet Transform (WT), Wind Turbine Transmission System

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