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
fDate :
June 30 2009-July 2 2009
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;
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
DOI :
10.1109/NISS.2009.39