DocumentCode :
2153342
Title :
Research on application of fuzzy fault tree analysis in the electronic equipment fault diagnosis
Author :
Xiao-lin, Liang ; Yan-xia, Zhao ; Zeng-hui, Zhou
Author_Institution :
Sch. of Inf. & Technol., Hebei Univ. of Econ. & Bus., Shijiazhuang, China
Volume :
2
fYear :
2010
fDate :
26-28 Feb. 2010
Firstpage :
65
Lastpage :
67
Abstract :
The complexity of electronic equipment structure makes the fault has characteristics of complexity, ambiguity and uncertainty. Based on the description of basic theory and aim at the problem of ambiguity and uncertainty of the electronic equipment failure probability, the paper introduced fuzzy set theory into electronic fault tree analysis and scientifically analyzed the various kinds of fuzzy information that be confronted by the failure of the electronic equipment. A material example of the application of fuzzy fault tree analysis method in the electronic fault diagnosis system was also provided. It proves that the method can analyze and process random uncertainty and fuzzy uncertainty failure event at the same time, which can effectively solve the above problems of electronic equipment faults.
Keywords :
fault diagnosis; fault trees; fuzzy set theory; probability; electronic equipment failure probability; electronic equipment fault diagnosis system; electronic equipment structure complexity; fuzzy fault tree analysis; fuzzy set theory; fuzzy uncertainty failure event; process random uncertainty; Electronic equipment; Fault diagnosis; Fault trees; electronic equipment; fault diagnosis; fuzzy fault tree; fuzzy information;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer and Automation Engineering (ICCAE), 2010 The 2nd International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-5585-0
Electronic_ISBN :
978-1-4244-5586-7
Type :
conf
DOI :
10.1109/ICCAE.2010.5451381
Filename :
5451381
Link To Document :
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