DocumentCode
1608110
Title
Fault Diagnosis of Induction Motor Based on Artificial Immune System
Author
Yuan, Gui-li ; Qin, Shi-wei ; Zhang, Jian
Author_Institution
Control & Comput. Eng., North China Electr. Power Univ., Beijing, China
fYear
2012
Firstpage
166
Lastpage
170
Abstract
Based on principles of artificial immune systems, this paper put forward a fault diagnosis method for induction motor. Compared to the traditional negative selection algorithm, this method is added dynamic detector radius variation and immune memory cells, and improved the fault diagnosis detection rate for induction motor. Through simulation and testing, the validity of this method is proved.
Keywords
artificial immune systems; fault diagnosis; induction motors; artificial immune system; dynamic detector radius variation; fault diagnosis detection rate; immune memory cells; induction motor fault diagnosis; negative selection algorithm; Detectors; Fault detection; Fault diagnosis; Heuristic algorithms; Immune system; Induction motors; Vectors; Artificial immune system; fault diagnosis; induction motor; negative selection;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Control and Electronics Engineering (ICICEE), 2012 International Conference on
Conference_Location
Xi´an
Print_ISBN
978-1-4673-1450-3
Type
conf
DOI
10.1109/ICICEE.2012.51
Filename
6322340
Link To Document