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A novel Dempster-Shafer theory-based approach with weighted average for failure mode and effects analysis under uncertainty
Institution:1. Institute of Scientific Computing, Technische Universität Braunschweig, Braunschweig, 38106, Germany;2. Faculty of Mechanical Engineering & Mechanics, Ningbo University, Ningbo, Zhejiang, 315211, PR China;3. Department of Mechanical Science and Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, United States
Abstract:Risk priority number (RPN) is a commonly-used prioritization method in failure mode and effects analysis (FMEA) for systemic reliability and safety study. However, conventional RPN confronts wide criticisms, due to the neglect of the uncertainties of experts' opinions. It is important to handle the conflicts among experts' multi-opinions which could be described in imprecise, incomplete or crisp forms in lack of knowledge. In this paper, a novel method is proposed to alleviate and/or eliminate counter-intuitive behaviors against conflicts among multi-opinions under Dempster-Shafer theory. Firstly, the abnormity test for experts’ opinions is undertaken to identify and discard those distinct judgments. Then, an approach to determining the subjective weights of experts is proposed, which is used in weighted average for multi-opinions before calculating RPNs. Finally, the risk priority evaluation on main engine crankcase explosion failure on-board ship is implemented to verify the feasibility of the proposed approach.
Keywords:Failure mode and effects analysis  Dempster-shafer theory  Subjective weights  Risk priority number  Crankcase explosion onboard ship
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