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

fYear

2012

fDate

23-25 May 2012

Firstpage

1638

Lastpage

1641

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Decision Conference (CCDC), 2012 24th Chinese

Conference_Location

Taiyuan

Print_ISBN

978-1-4577-2073-4

Type

conf

DOI

10.1109/CCDC.2012.6244261

Filename

6244261