DocumentCode :
2638712
Title :
Fault Diagnose Technology of Power Electronic Based on Neural Network
Author :
Hu, Qing ; Wang, Rongjie ; Zhan, Yiju
Author_Institution :
Coll. of Inf. Eng., Guangdong Univ. of Technol., Guangzhou
fYear :
2008
fDate :
18-20 June 2008
Firstpage :
430
Lastpage :
430
Abstract :
A new method of fault diagnose distinguishing based on neural network is raised. Fault diagnose method of power electronic has been studied based on the wavy curve and neural network. Take the threephase bridge-type controllable thyristor circuit disconnection fault as the example, The results of power electronic circuit experiment show that this method is simple, is direct-viewing, may enhance the neural network model the study efficiency and the diagnosis accuracy. The way has very good fault distinguishing ability and vast prospect.
Keywords :
electronic engineering computing; fault diagnosis; neural nets; power electronics; bridge-type controllable thyristor circuit disconnection fault; fault diagnose technology; neural network; power electronic; Circuit faults; Educational institutions; Fault diagnosis; Feedforward neural networks; Feeds; Linearity; Neural networks; Power electronics; Thyristors; Voltage control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Innovative Computing Information and Control, 2008. ICICIC '08. 3rd International Conference on
Conference_Location :
Dalian, Liaoning
Print_ISBN :
978-0-7695-3161-8
Electronic_ISBN :
978-0-7695-3161-8
Type :
conf
DOI :
10.1109/ICICIC.2008.274
Filename :
4603619
Link To Document :
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