Fuzzy risk assessment of failure mode and sensitivity analysis of its assessment parameters

The current researches of failure mode risk assessment mainly focus on providing more complex assessment models, hut they suffer from the lack of consideration on engineering application of assessment models and research on the property and extent of each assessment parameter's impact on the assessment results. A fuzzy confidence interval evaluation model for failure mode risk factors was constructed, the synthesis of the risk factor e-valuation results and the scalar quantitative measurement of the evaluation results were realized by transforming the fuzzy confidence interval numbers into triangular fuzzy numbers. On this basis, the probability distribution models of each evaluation parameter in the risk factor evaluation model were given. A global sensitivity analysis method based on Gaussian radial basis function was used to confirm the Failure Mode and Effects Analysis (FMEA), which guided and formulated more refined evaluation parameter selection criteria. The FMEA application of a certain type of aircraft engine's installation process showed that the proposed model and the evaluation parameter selection criteria based on the sensitivity analysis results could not only enable the assessment experts to give the assessment results of risk factors more objectively and finely, but meet the application requirements of industry standards as well, and significantly improve the discrimination of the failure mode risk impact by assessment results. © 2023 CIMS. All rights reserved.