Failure Mode Screening Using Fuzzy Set Theory
نویسندگان
چکیده
The fuzzy sets possess natural capability to capture measurement uncertainty as a part of experimental data. Therefore the uncertainties of various kinds involved in system failure analysis may be adequately addressed using the concept of fuzzy sets. Fonseca et al developed and implemented fuzzy reasoning algorithm via an expert system to assess the likelihood of equipment failure mode. The algorithm developed by them is a fuzzy mathematical formulation which linearly relates the presence of different failure causing factors (FCFs) categorized as critical, important and related. It has been observed that the failure data may not be collected accurately and ignorance of uncertainty of any sort may lead to substantial errors. Unlike Fonseca et al, we propose that the FCFs should be measured by a fuzzy technique with desired accuracy. Also, it is quite obvious that the weights of FCFs are vital in failure mode screening. Thus the weights of FCFs should be linguistic and to be assigned appropriate fuzzy numbers in place of crisp numbers. The proposed technique is implemented to the same example taken by Fonseca et al.
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