Title :
Gear fault diagnosis based on continuous Morlet wavelet amplitude and phase map
Author_Institution :
Dept. of Electromech. Eng., Shijiazhuang Inst. of Railway Technol., Shijiazhuang, China
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;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2010 Seventh International Conference on
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-5931-5
DOI :
10.1109/FSKD.2010.5569811