Research on Reliability Modeling and Maintenance Strategy of Key Component of EMU Based on Stochastic Differential Equation and Copula Theory

Lanlan Huangfu, H. Su, Huayun Wang
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Abstract

Preventive maintenance strategy is an important mean to ensure the reliable operation of large equipment in power plant, nuclear power plant, high-speed railway Electric Multiple Units (EMU) and other fields. Aiming at the problems of high maintenance cost and great damage of EMU gearbox, the reliability and state maintenance decision model based on stochastic differential equation (SDE) and Copula theory was proposed in this paper. Firstly, the model comprehensively considers the degradation process of components and the external random disturbance factors, describes the external random disturbance by Brownian operation, and establishes the Weibull proportional risk model based on SDE. Secondly, based on Copula theory, the reliability model of component performance degradation is obtained. On this basis, the corresponding Time-Based Maintenance (TBM) and Condition-Based Maintenance (CBM) strategies are established, and the preventive maintenance strategy of components is formulated with the optimization goal of minimizing cost ratio. Finally, the example is given to analyze the reliability model and verify its validity.
基于随机微分方程和Copula理论的动车组关键部件可靠性建模与维修策略研究
预防性维修策略是保证电厂、核电站、高铁动车组等领域大型设备可靠运行的重要手段。针对动车组齿轮箱维修成本高、损坏大的问题,提出了基于随机微分方程(SDE)和Copula理论的可靠性和状态维修决策模型。首先,该模型综合考虑了部件的退化过程和外部随机干扰因素,采用布朗算子描述外部随机干扰,建立了基于SDE的威布尔比例风险模型;其次,基于Copula理论,建立了部件性能退化的可靠性模型;在此基础上,建立了相应的基于时间的维护(TBM)和基于状态的维护(CBM)策略,制定了以成本比最小为优化目标的部件预防性维护策略。最后通过算例对可靠性模型进行了分析,验证了该模型的有效性。
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