DocumentCode
1926840
Title
Fault Diagnosis of Induction Motor using Neural Networks
Author
He, Qing ; Du, Dong-mei
Author_Institution
North China Electr. Power Univ., Beijing
Volume
2
fYear
2007
fDate
19-22 Aug. 2007
Firstpage
1090
Lastpage
1095
Abstract
The fault diagnosis theory and its methods for inductor motor are summarized. Based on the method of current spectrum, a neural network method to diagnose the broken bar number of inductor motor is presented. The training patterns and the diagnosis results for the neural network are given. The broken bar number of inductor motor is diagnosed directly according to the working status parameters. The method is high intelligent and very reliable.
Keywords
fault diagnosis; induction motors; neural nets; broken bar number; current spectrum; fault diagnosis; induction motor; neural networks; Circuit faults; Electric motors; Fault diagnosis; Frequency; Induction motors; Inductors; Magnetic flux; Neural networks; Rotors; Stator windings; Broken bar; Fault diagnosis; Induction motor; Neural networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2007 International Conference on
Conference_Location
Hong Kong
Print_ISBN
978-1-4244-0973-0
Electronic_ISBN
978-1-4244-0973-0
Type
conf
DOI
10.1109/ICMLC.2007.4370306
Filename
4370306
Link To Document