Title :
Fault diagnosis for wind turbine gearbox based on wavelet analysis
Author :
Wen-jing, Zhou ; Yan-xia, Shen ; Long, Wang
Author_Institution :
Inst. of Electr. Autom., Jiangnan Univ., Wuxi, China
Abstract :
Based on wavelet transform of time-frequency multi-resolution analysis characteristic and the fault type of gearbox, the theoretical model of gear faults vibration signal was established from the perspective of dynamics. The method for fault diagnosis of wind turbine gearbox was proposed, and experiment was carried out to verify the effect of this diagnosis method. The results showed that this diagnosis method could effectively diagnose the partial damage failure of gears in gearbox.
Keywords :
failure (mechanical); failure analysis; fault diagnosis; gears; mechanical engineering computing; signal processing; vibrations; wavelet transforms; wind turbines; diagnosis method; fault diagnosis; gear faults vibration signal; gearbox fault type; partial damage failure; theoretical model; time-frequency multiresolution analysis characteristic; wavelet analysis; wavelet transform; wind turbine gearbox; Fault diagnosis; Frequency domain analysis; Frequency modulation; Gears; Vibrations; Wavelet analysis; Wind turbines; fault diagnosis; gear failure; vibration analysis; wavelet analysis;
Conference_Titel :
Control and Decision Conference (CCDC), 2012 24th Chinese
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4577-2073-4
DOI :
10.1109/CCDC.2012.6244261
