Functional diagnostics of dynamic systems using fuzzy rules for fault analysis and decision making

Authors:
G. V. Bezmen;N. V. Kolesov
Affiliations:
Concern Central Scientific and Research Institute "ELEKTROPRIBOR" JSC, State Research Center of the Russian Federation, Saint Petersburg, Russia 197046;Concern Central Scientific and Research Institute "ELEKTROPRIBOR" JSC, State Research Center of the Russian Federation, Saint Petersburg, Russia 197046
Venue:
Journal of Computer and Systems Sciences International
Year:
2011

Citing 2
Cited 0

Fault diagnosis in dynamic systems using analytical and knowledge-based redundancy—a survey and some new results

Automatica (Journal of IFAC)
Issues of Fault Diagnosis for Dynamic Systems

Issues of Fault Diagnosis for Dynamic Systems

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Abstract

A method of functional diagnostics of dynamic systems based on fuzzy approach is proposed; this method possesses two basic specific features differing it from other known fuzzy methods based on application of fuzzy logics and state observer data base. First, this method uses the data base of interacting observers, while traditionally independent observers are used. The second specific feature of the proposed method is that it presumes the absence of a strict boundary between the serviceable and disabled technical states of the system. This makes it possible to specify the decision making rule in fault diagnosis.