Title :
Wavelets and singularities in bearing vibration signals
Author :
Fu, Yu ; Li, Wen-sheng ; Xu, Guo-hua
Author_Institution :
Dept. of Electron. Sci. & Technol., Zhongshan Univ., China
Abstract :
The wavelet transform is used to detect and measure singularities of transients in vibration signal generated by faults in a rolling element bearing. The mathematical characterization of singularities with Lipschitz exponents is introduced. Then a method for fault diagnosis by computing local Lipschitz exponents from the wavelet transform modulus maxima is provided. Finally, some experimental results from rolling element bearing tests are presented.
Keywords :
fault diagnosis; rolling bearings; signal detection; vibration measurement; wavelet transforms; bearing vibration signals; fault diagnosis; local Lipschitz exponents; mathematical characterization; rolling element bearing; vibration signal; wavelet transform; wavelet transform modulus maxima; Condition monitoring; Fault detection; Fault diagnosis; Fourier transforms; Rolling bearings; Signal analysis; Signal resolution; Time frequency analysis; Vibration measurement; Wavelet transforms;
Conference_Titel :
Machine Learning and Cybernetics, 2003 International Conference on
Print_ISBN :
0-7803-8131-9
DOI :
10.1109/ICMLC.2003.1259919
