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

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 interac...

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Bibliographic Details
Published in:Journal of computer & systems sciences international 2011-06, Vol.50 (3), p.355-364
Main Authors: Bezmen, G. V., Kolesov, N. V.
Format: Article
Language:English
Subjects:
Analysis
Control
Control in Stochastic Systems and Under Uncertainty Conditions
Decision making
Diagnostics
Dynamical systems
Dynamics
Engineering
Fault diagnosis
Fuzzy
Fuzzy logic
Fuzzy set theory
Fuzzy sets
Mechatronics
Observers
Robotics
Studies
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Summary: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.
ISSN:1064-2307
1555-6530
DOI:10.1134/S106423071103004X