DocumentCode
2041725
Title
Gear fault diagnosis based on continuous Morlet wavelet amplitude and phase map
Author
Li, Hui
Author_Institution
Dept. of Electromech. Eng., Shijiazhuang Inst. of Railway Technol., Shijiazhuang, China
Volume
6
fYear
2010
fDate
10-12 Aug. 2010
Firstpage
2619
Lastpage
2622
Abstract
A novel method for detection and diagnosis of the gear wear fault according to complex Morlet wavelet amplitude and phase map is presented. The continuous wavelet transform is widely recognized as an effective technique for machinery fault diagnosis using vibration signals since it can be used to detect both stationary and transitory signals. This advantage makes it very suitable for the detection of singularity generated by localized defects in gear transmission system. In this study, the complex Morlet wavelet amplitude and phase map are used in conjunction to diagnose the gear fault. The experimental results show that complex Morlet wavelet amplitude and phase map is a sensitive indicator of the existence of damage in the gearbox.
Keywords
acoustic signal detection; fault diagnosis; gears; power transmission (mechanical); vibrations; wavelet transforms; complex Morlet wavelet amplitude; continuous Morlet wavelet amplitude; continuous wavelet transform; gear transmission system; gear wear fault diagnosis; gearbox; machinery fault diagnosis; phase map; stationary signal detection; transitory signal detection; vibration signals; Continuous wavelet transforms; Fault diagnosis; Feature extraction; Gears; Vibrations; continuous wavelet transform; fault diagnosis; gear; signal processing; vibration;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems and Knowledge Discovery (FSKD), 2010 Seventh International Conference on
Conference_Location
Yantai, Shandong
Print_ISBN
978-1-4244-5931-5
Type
conf
DOI
10.1109/FSKD.2010.5569811
Filename
5569811
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