DocumentCode
2249999
Title
Research on the application of fuzzy fault tree analysis method in the machinery equipment fault diagnosis
Author
Yuliang, Chen ; Tiejun, Zhang
Author_Institution
Coll. of Light Ind., Hebei Polytech. Univ., Tangshan, China
Volume
1
fYear
2010
fDate
6-7 March 2010
Firstpage
84
Lastpage
87
Abstract
At present, many large-scale mechanical system has complex structure, which makes the fault of it has characteristics of complexity, ambiguity and uncertainty. Based on the introduction of basic theory of the fuzzy fault tree analysis method and aim at the characteristics of ambiguity and uncertainty of the mechanical failure probability, the paper introduced fuzzy set theory into mechanical fault tree analysis and scientifically analyzed the various kinds of fuzzy information that be confronted by the failure of many tache of the mechanical equipment. In addition, a material example of the application of fuzzy fault tree analysis method in the mechanical fault diagnosis system was also provided. The test proves that the method can analyze and process random uncertainty and fuzzy uncertainty failure event at the same time, which can effectively solve the problems of complexity, ambiguity and uncertainty of mechanical faults.
Keywords
failure (mechanical); fault diagnosis; fault trees; fuzzy set theory; machinery; probability; fuzzy fault tree analysis method; fuzzy set theory; fuzzy uncertainty failure; large-scale mechanical system; machinery equipment fault diagnosis; mechanical equipment; mechanical failure probability; mechanical faults; Failure analysis; Fault diagnosis; Fault trees; Fuzzy set theory; Fuzzy systems; Information analysis; Large-scale systems; Machinery; Mechanical systems; Uncertainty; fault diagnosis; fuzzy fault tree analysis; fuzzy number; mechanical equipment;
fLanguage
English
Publisher
ieee
Conference_Titel
Informatics in Control, Automation and Robotics (CAR), 2010 2nd International Asia Conference on
Conference_Location
Wuhan
ISSN
1948-3414
Print_ISBN
978-1-4244-5192-0
Electronic_ISBN
1948-3414
Type
conf
DOI
10.1109/CAR.2010.5456771
Filename
5456771
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