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Application of Fuzzy Sets in Reliability and in Optimal Condition Monitoring Technique Selection in Equipment Maintenance

In: Advances in RAMS Engineering

Author

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  • Rajesh S. Prabhu Gaonkar

    (Indian Institute of Technology Goa (IIT Goa))

Abstract

In order to improve the design of a system, we need to identify the least reliable component of the system. Unexpected failure of any component of the system may increase the maintenance and down time cost due to unavailability of the system. Though this is easy in simpler systems, it becomes a difficult task as the complexity of the system increases. A methodology using mathematical modelling facility of fuzzy set theory is presented here, which is effective in situations wherein the data available is mostly subjective and it is difficult to get precise quantitative data. After covering basic concepts of various uncertainty modelling theories and fuzzy sets, its application to reliability and fault tree is presented. In the second part of the chapter, multi-attribute decision making methods with application to ranking and optimal condition monitoring technique selection from maintenance engineering domain is presented. These include fuzzy set based Analytic Hierarchy Process (AHP), rating and ranking method, ranking by maximizing and minimizing sets, raking by cardinal utilities and suitability set method.

Suggested Citation

  • Rajesh S. Prabhu Gaonkar, 2020. "Application of Fuzzy Sets in Reliability and in Optimal Condition Monitoring Technique Selection in Equipment Maintenance," Springer Series in Reliability Engineering, in: Durga Rao Karanki & Gopika Vinod & Srividya Ajit (ed.), Advances in RAMS Engineering, pages 327-359, Springer.
    • Handle: RePEc:spr:ssrchp:978-3-030-36518-9_13
    DOI: 10.1007/978-3-030-36518-9_13
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