Research on online monitoring and diagnosis of bearing fault of wind turbine gearbox based on undecimated wavelet transformation

Author

Fu-cheng, Zhou

Author_Institution

North China Electr. Power Univ. Sci. & Technol. Coll., Baoding, China

fYear

2010

fDate

28-30 Nov. 2010

Firstpage

251

Lastpage

254

Abstract

When gearbox operated abnormally, a frequency vibration energy of signal after undecimated wavelet transformation would have great changes, the online monitoring and diagnosis system of wind turbine gearbox was developed accordingly. Measured the vibration signal of bearing fault in the laboratory, The results showed that this proposed method can be more accurate display characteristics, which was conducive to diagnose bearing failure quickly and effectively.

Keywords

computerised monitoring; fault diagnosis; gears; machine bearings; mechanical engineering computing; vibrations; wavelet transforms; wind turbines; bearing fault; frequency vibration signal energy; online diagnosis; online monitoring; undecimated wavelet transformation; vibration signal measurement; wind turbine gearbox; Fault diagnosis; Monitoring; Time frequency analysis; Wavelet analysis; Wavelet transforms; Wind turbines; Fault diagnose; Online monitoring; Undecimated wavelet transformation; Wind turbine gearbox;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Computing and Telecommunications (YC-ICT), 2010 IEEE Youth Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4244-8883-4

Type

conf

DOI

10.1109/YCICT.2010.5713092

Filename

5713092