DocumentCode
1898512
Title
Motor Fault Diagnosis Based on Wavelet Neural Network
Author
Ying, Xu Li ; Lan, Wang Nan
Author_Institution
Changsha Univ. of Sci. & Technol., Changsha, China
Volume
2
fYear
2009
fDate
10-11 Oct. 2009
Firstpage
553
Lastpage
555
Abstract
Motor fault diagnosis is important in industrial and agricultural production. Many methods have been employed to solve this problem. A novel method for motor fault diagnosis is proposed in this paper, which adopts the wavelet neural network and applies improved genetic algorithm to optimize the initial parameters of wavelet neural network. The results of training and testing show that the method is effective and available.
Keywords
electric machine analysis computing; fault diagnosis; genetic algorithms; induction motors; neural nets; agricultural production; genetic algorithm; industrial production; motor fault diagnosis; wavelet neural network; Art; Automation; Computer networks; Convergence; Fault diagnosis; Feedforward neural networks; Genetic algorithms; Intelligent networks; Neural networks; Production; motor fault diagnosis; neural network; wavelet function;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Computation Technology and Automation, 2009. ICICTA '09. Second International Conference on
Conference_Location
Changsha, Hunan
Print_ISBN
978-0-7695-3804-4
Type
conf
DOI
10.1109/ICICTA.2009.368
Filename
5287740
Link To Document