DocumentCode
3250160
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
fYear
2010
fDate
14-17 June 2010
Firstpage
227
Lastpage
230
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/PMAPS.2010.5528515
Filename
5528515
Link To Document