Reliability analysis of subway sliding plug doors based on improved FMECA and Weibull distribution

Using traditional failure mode effects and criticality analysis (FMECA) to analyze the hazard of subway sliding plug door system, there are problems such as easy-to-take repetitive values, irrational allocation of expert's weights, and failure to consider the weights of evaluation factors. To address the above problems, this paper proposes an improved FMECA by using linear interpolation to increase the differentiation of the same fault probability occurrence among various fault modes. Apply the dependent uncertain ordered weighted averaging (DUOWA) algorithm to assign weights to different experts dynamically. The analytic hierarchy process (AHP) is used to endow weights to diverse evaluation factors to make them more suitable for engineering needs. We collected 1,836 days of metro train operation records from the Shanghai subway manufacturing plant and studied 17 common faults. Next, use a reliability-centered maintenance (RCM) strategy to determine maintenance periods for different fault modes. Finally, through the Weibull distribution fitting test, the fault rate function of the door is obtained, and the remaining useful life (RUL) of the door is predicted. The consistency between the vulnerable parts obtained by our proposed method and the statistics of the maintenance records of the subway sliding plug door verifies the effectiveness and reliability of our improved FMECA.

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Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki (2025).