Title :
Bearing fault diagnosis based on time scale spectrum of continuous wavelet transform
Author_Institution :
Dept. of Electromech. Eng., Shijiazhuang Inst. of Railway Technol., Shijiazhuang, China
Abstract :
A new approach to bearing localized fault diagnosis based on time scale spectrum of continuous Morlet wavelet transform technique is presented. The continuous wavelet transform enables one to look at the evolution in the time scale joint representation plane. This advantage makes it very suitable for the detection of singularity generated by localized defects in mechanical system. The theoretical background of complex Morlet continuous wavelet is introduced in detail. The experimental results show that time scale spectrum of continuous Morlet wavelet transform can effectively detect and diagnose the bearing fault.
Keywords :
acoustic signal processing; fault diagnosis; machine bearings; mechanical engineering computing; vibrations; wavelet transforms; bearing fault detection; bearing localized fault diagnosis; continuous Morlet wavelet transform technique; mechanical system; singularity detection; time scale joint representation plane; time scale spectrum; vibration signals; Continuous wavelet transforms; Feature extraction; Rolling bearings; Vibrations; Wavelet analysis; Bearing; Continuous wavelet transform; Fault diagnosis; Morlet wavelet; Signal processing;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2011 Eighth International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-61284-180-9
DOI :
10.1109/FSKD.2011.6019822