Selection of optimum maintenance strategy for power plant equipment based on evidential reasoning and FMEA

Abstract

Aiming at the problem that it is difficult to select optimum maintenance strategy for power plant equipment, a method based on criticality evaluation and failure mode characteristic analysis is put forward. In the method, the uncertainty and incompletion of criticality evaluation factors are completely considered, qualitative and quantitative evidences are integrated and their acquisition and transformation method is put forward based on constructing criticality evaluation multiple-attribute decision tree. Then a decision tree criticality evaluation model is established, a corresponding evidential reasoning algorithm is deduced, and the equipment in power plant is ranked by criticality. Integrating the results of criticality evaluation and failure mode and effect analysis (FMEA), the decision model of selecting optimum maintenance strategy of power plant equipment is established and applied in a fossil-fired power station. It is shown by the instance that this method is feasible and effective, can select optimum maintenance strategy for power plant equipment.Keywords -Power plant equipment, evidential reasoning, failure mode and effect analysis, maintenance strategy

Multi-objective optimization of safety instrumented systems maintenance strategy: a case study

“…To conclude, most of these studies are dedicated to the design phase where the SIS is not yet implemented which limits the decisions making on improving the SIS performance or making it difficult in operational phase. Indeed, some issues arise during the operational phase and are not taken into consideration in the design stage such as operational and environmental conditions, the decision factors taken into account for the choice of the maintenance strategy are for example security, reliability, economic and maintainability factors, … etc (Dong et al , 2008).…”

Maintenance strategy selection problem: an MCDM overview

“…In recent years, the evidential reasoning (ER) approach has emerged as an alternative to solve the MSS problem under various uncertainties. The two studies of Dong et al (2008) and Gaonkar et al (2011) used the ER approach and illustrated how this approach can be used instead of fuzzy models. The ER approach employs a hierarchical evaluation process in which all decision criteria are aggregated into one.…”

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