Modeling Human Expert Faults Diagnosis by Fuzzy Reasoning

D. Stefanoiu and F. Ionescu (Germany)


spectral statistics, fuzzy relations, transitive closure, fuzzy entropy, similarity defect classes.


When searching for faults threatening a system, the human expert is sometimes performing an amazingly accurate analysis of available information, eventually by only using some elementary statistics. Modeling the reasoning founding such an analysis is, in general, a difficult attempt, but also a possible one, in some cases. This paper is aiming to introduce a non conventional method of bearings faults diagnosis, based upon some statistical and fuzzy concepts.

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