The optimization of metro vehicle preventive maintenance cycle based on the reliability and genetic algorithm

To describe the relationship between failure modes and maintenance cycle, an preventive maintenance cycle optimization model for the metro vehicle is introduced. The fault data is statistically analyzed in accordance with the Heinrich safety rule. And the fault distribution type of the system is determined using the AMSAA(Army Materiel Systems Analysis Activity) model. Then, the optimal mathematical model for maintenance cycle is presented. Finally, the genetic algorithm method is used to obtain the optimal maintenance cycle. The experimental results show that the genetic algorithm is capable of reaching the global optimal solution quickly. The model can be used to provide decision-making guidance and theoretical support for the vehicle maintenance departments.