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
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;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery, 2008. FSKD '08. Fifth International Conference on
Conference_Location :
Shandong
Print_ISBN :
978-0-7695-3305-6
DOI :
10.1109/FSKD.2008.594