DocumentCode :
620335
Title :
A survey of fault diagnosis technology for electronic circuit based on knowledge technology
Author :
Wu Lifeng ; Zheng Xueyan ; Guan Yong ; Wang Guohui ; Li Xiaojuan
Author_Institution :
Coll. of Inf. Eng., Capital Normal Univ. Beijing, Beijing, China
fYear :
2013
fDate :
25-27 May 2013
Firstpage :
3555
Lastpage :
3559
Abstract :
With the rapid development of electronic technology, on-line fault diagnosis of electronic equipment has become a hot research field. After some basic concepts and principles of fault diagnosis are introduced, this paper focuses on the diagnosis method based on knowledge technology, expounds in detail the diagnosis principle and research achievement such as the fault tree, pattern recognition, expert system, neural network, and the rough set. Finally, the new development and the problems of the fault diagnosis technique are summarized, looking to the future development of fault diagnosis technique which is based on Knowledge technology.
Keywords :
circuit testing; electronic engineering computing; expert systems; fault diagnosis; fault trees; neural nets; pattern recognition; rough set theory; electronic circuit; electronic equipment; electronic technology; expert system; fault diagnosis technology; fault tree; knowledge technology; neural network; online fault diagnosis technique; pattern recognition; rough set; Circuit faults; Dictionaries; Expert systems; Fault diagnosis; Fault trees; Neural networks; Power electronics; expert system; fault diagnosis; knowledge technology; neural network; power electronics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference (CCDC), 2013 25th Chinese
Conference_Location :
Guiyang
Print_ISBN :
978-1-4673-5533-9
Type :
conf
DOI :
10.1109/CCDC.2013.6561564
Filename :
6561564
Link To Document :
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