Journal of System Simulation
Abstract
Abstract: Aiming at the risk priority numbers of different failure modes being equal and the criticality of the fault modes changing greatly due to the tiny change of the risk parameters, a method of the failure modes analysis based on the weighted evidence theory is proposed from the perspective of the methodology of dealing with the uncertainty problem. The method qualifies the epistemic uncertainty existing in the expert evaluation of the risk parameters into the basic belief assignment and expert attribute weight respectively, and the information propagation and processing of the epistemic uncertainty is solved, and the ordered arrangement of the criticality analysis of the fault modes is eventually achieved. The practicability and effectiveness of the proposed method are verified by the case analysis and comparison with the existing research results.
Recommended Citation
Shao, Lulu; Han, Jihong; Kan, Niu; Liu, Xiaohu; and Fang, Shao
(2020)
"Research on Failure Modes Analysis Based on Weighted Evidence Theory,"
Journal of System Simulation: Vol. 32:
Iss.
5, Article 4.
DOI: 10.16182/j.issn1004731x.joss.18-0578
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol32/iss5/4
First Page
782
Revised Date
2018-12-20
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.18-0578
Last Page
791
CLC
TB114.3
Recommended Citation
Shao Lulu, Han Jihong, Niu Kan, Liu Xiaohu, Shao Fang. Research on Failure Modes Analysis Based on Weighted Evidence Theory[J]. Journal of System Simulation, 2020, 32(5): 782-791.
DOI
10.16182/j.issn1004731x.joss.18-0578
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