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