DocumentCode
3459242
Title
The Early Fault Diagnosis Method of Induce Motor Based on Gray Prediction Nerve Network
Author
Ling-yan, Lin ; Jian-cheng, Song ; Mu-qin, Tian ; Xiao-feng, Lu
Author_Institution
Taiyuan Univ. of Technol., Taiyuan, China
fYear
2009
fDate
June 30 2009-July 2 2009
Firstpage
207
Lastpage
210
Abstract
It makes diagnosis of induce motor very complex that itpsilas fault omens and feature is non-linear. It is more difficult to get earlier period fault information and realize function reflection between information and running state. As the knowledge limitation and parameter change in running of induce motor, the gray prediction combined with the nerve network is used to predict feature parameter and future running state.
Keywords
electric machine analysis computing; fault diagnosis; induction motors; radial basis function networks; fault diagnosis method; gray prediction nerve network; induce motor; knowledge limitation; parameter change; Biological neural networks; Differential equations; Fault diagnosis; Function approximation; Induction motors; Parameter estimation; Power system modeling; Predictive models; Temperature; Voltage; earlier period fault; gray prediction; induce motor; nerve network;
fLanguage
English
Publisher
ieee
Conference_Titel
New Trends in Information and Service Science, 2009. NISS '09. International Conference on
Conference_Location
Beijing
Print_ISBN
978-0-7695-3687-3
Type
conf
DOI
10.1109/NISS.2009.39
Filename
5260637
Link To Document