Extended failure mode and effect analysis approach based on hesitant fuzzy linguistic Z-numbers for risk prioritisation of nuclear power equipment failures
Affiliations: [a] School of Economics Management and Law, University of South China, Hengyang, PR China | [b] School of Business, Central South University, Changsha, PR China | [c] School of Resources, Environment and Safety Engineering, University of South China, Hengyang, PR China
Correspondence:
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Corresponding author. Tie-li Wang, School of Economics Management and Law, University of South China, Hengyang, 421001, PR China. E-mail: wangtieli@usc.edu.cn.
Abstract: The successful diagnosis of nuclear power equipment failures plays a vital role in guaranteeing the safe operation of nuclear power systems. Failure mode and effect analysis (FMEA) is one of the most commonly used methods for identifying potential failures. However, several shortcomings associated with the conventional FMEA method limit its further application. This paper develops an extended FMEA approach based on hesitant fuzzy linguistic Z-numbers (HFLZNs). Firstly, the concept of HFLZNs is proposed to describe the evaluation information, which inherits the prominent features of the hesitant fuzzy linguistic term set and linguistic Z-numbers (LZNs). Secondly, an HFLZN assessment method is developed to determine the weights of risk factors, and the weights of experts are measured based on hesitation degree. Subsequently, considering the psychological characteristics of decision makers, Tomada de Decisão Iterativa Multicritério and LZNs are integrated to obtain the risk ranking of failure modes. Finally, the practicability of the extended FMEA method is proven by an illustrative example concerning the risk evaluation of a nuclear main pump bearing, and its robustness is verified by indepth analysis.
Keywords: Nuclear power equipment, failure mode and effect analysis, hesitant fuzzy
linguistic term set, linguistic Z-numbers, TODIM
