Machinery Fault Diagnosis Schemas Based on Fuzzy Integral Theory
نویسندگان
چکیده
Fuzzy measure and fuzzy integral theory is an outgrowth of classical measure theory and has found applications in image processing and information fusion. This paper presents the review of a study on the development of a machinery fault diagnosis application of fuzzy measures and fuzzy integrals. Fuzzy measures and fuzzy integrals take into account the index of importance of criteria and interactions among them--an important feature that makes fuzzy measure and fuzzy integral a good candidate for application in machinery fault diagnosis. The theory of fuzzy measures and fuzzy integrals and their important properties are introduced. Techniques for identifying fuzzy measures are summarised. Two schemas using fuzzy measures and fuzzy integrals for machinery fault diagnosis are also proposed.
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