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