Research on maintenance decision of rail transit signal power supply system

The fixed period maintenance strategy is generally adopted in the rail transit signal power supply system. This maintenance strategy inevitably leads to the over repair or insufficient maintenance of each power supply module in the power supply system. This reduce the reliability of the power supply system itself, and affect the normal operation of other equipment. In order to make the maintenance strategy more consistent with the degradation rule of signal power supply system, and improve the reliability of equipment and save the maintenance cost. This paper used the Monte Carlo simulation to obtain the reliability of each power supply module in the signal power supply system. Based on the reliability models of power supply modules, the two-dimensional optimization objective of average reliability and maintenance cost of signal power supply system was established. The availability was established and used as constraint condition, particle swarm optimization algorithm was used to optimize the model, and the optimal detection period and maintenance mode were obtained. The result shows that the maintenance methods of the four power supply modules in the rail transit signal power supply system are basically the same during the first to the third maintenance. During the 4th to 8th maintenance, the maintenance methods of the four power supply modules have shown different forms.