Title :
The selection of wavelet base in fault diagnosis of motor
Author :
Tian Mu-Ling ; Yang Jie-Ming
Author_Institution :
Taiyuan Univ. of Technol., Taiyuan, China
Abstract :
Many wavelet functions produce countless groups of wavelet bases. Every wavelet base has its time-frequency characteristics. There will bring about different results while analyzing the same problem with different wavelet bases. So selection of wavelet base will have influence on quality of fault diagnosis of motor. By analyzing and compare wavelet bases, author has selected the wavelet base which is fit for signals of the system.
Keywords :
electric motors; fault diagnosis; wavelet transforms; fault diagnosis; motor quality; time-frequency characteristics; wavelet base selection; Equations; Fault diagnosis; Fourier transforms; Performance analysis; Signal analysis; Signal processing; Time frequency analysis; Wavelet analysis; Wavelet domain; Wavelet transforms; fault diagnosis of motor; selection; wavelet base;
Conference_Titel :
Probabilistic Methods Applied to Power Systems (PMAPS), 2010 IEEE 11th International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-5720-5
DOI :
10.1109/PMAPS.2010.5528515
