DocumentCode
3288134
Title
A New Fuzzy Fault Diagnosis Method
Author
Li, Li ; Yukuen Sun ; Yimin Li
Author_Institution
Sch. of Comput. Sci. Telecommun. Eng., Jiangsu Univ., Zhenjiang
Volume
3
fYear
2008
fDate
18-20 Oct. 2008
Firstpage
479
Lastpage
483
Abstract
An expanded type-2 fuzzy set is proposed, then we developed fuzzy diagnosis method based on it, in this paper; also the corresponding designing algorithm is given. As we added negative values to the membership function, the residual error outputs could be clearly divided into three statuses: normal, abnormal, fault. The added status could better "confirm evidence, eliminate feint". As a result, miss-diagnosis and misdiagnosis could be prevented. Aiming at a kind of nonlinear system, simulation result verifies the efficiency of this method.
Keywords
fault diagnosis; fuzzy set theory; fuzzy fault diagnosis method; membership function; nonlinear system; residual error; type-2 fuzzy set; Algorithm design and analysis; Computer science; Fault diagnosis; Fuzzy control; Fuzzy sets; Fuzzy systems; Knowledge engineering; Nonlinear systems; Robustness; Sun;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems and Knowledge Discovery, 2008. FSKD '08. Fifth International Conference on
Conference_Location
Shandong
Print_ISBN
978-0-7695-3305-6
Type
conf
DOI
10.1109/FSKD.2008.594
Filename
4666291
Link To Document