Preventive Maintenance for Key Components of Metro Door System Based on Improved Dung Beetle Optimizer Algorithm.

With the continuous development of rail transportation worldwide, the safety and economy of metro trains have become essential standards. The door system is one of the most frequently used components in the process of train operation, so the fault rate is much higher than other systems. In view of the above problems, a preventive maintenance (PM) model for critical components of metro train door system is established based on reliability in this paper. Firstly, the Pareto chart analysis method and failure mode effect and criticality analysis method are adopted to determine that the lower retaining pin assembly and balanced pressing wheel are the main fault components in the door system. The parameter values of the three-parameter Weibull model of the door components are accurately obtained through the improved dung beetle optimizer algorithm, which provides an essential theoretical basis for optimizing preventive maintenance decisions. Secondly, a PM model of metro door components is established, and Lévy flight is added to PSO to enhance the optimization performance of the algorithm and solve the preventive maintenance model. Finally, the model is verified by sorting out the historical fault maintenance data of the metro door system in a city. The experimental results show that the PM strategy has economic, safety and task performance advantages compared to traditional maintenance methods. [ABSTRACT FROM AUTHOR]