Preventive Maintenance Strategy Optimization And Game Coordination Study For Metro Vehicle Components

In recent years, with the development of subway construction, it proposes the higher operation reliability requirements for metro vehicle; also the component that has the good technical status is the key to ensure safe operation of vehicle. Considering the degeneration features of the key-components, the reasonable and effective maintenance scheme can be obtained to ensure reliability and reduce maintenance cost through scientific determining. It can provide powerful decision support for the efficient and safe operation of metro vehicles.The paper studies preventive maintenance strategy for Metro vehicle key-components.The main research content of the paper includes the following three parts:(1) Unreasonable maintenance plan can limit the service life of metro vehicle component which is a kind of waste of resources. By considering the dynamic maintenance factor of the inadequate maintenance resource, low-maintenance cost and maintenance convenience comprehensively, a new analysis method of cost-effectiveness was proposed based on the failure rate to determine component optimal replacement cycle. The optimal maintenance schedule could be achieved by minimizing maintenance cost rate in a replacement cycle in the model. A fault repair punishment mechanism was introduced to decrease the impact for unexpected fault repair timeout because of inadequate maintenance resource. The example results show that the analysis method is feasible and effective to realize use value maximum in the component maintenance decision. At the same time, it can get an effective preventive replacement scheme and provide important basis for maintenance optimization of vehicle component though the maintenance strategy.(2) In order to explore the effects of shock interaction among components on the system prevent maintenance plan. In view of the complex failure interactions among components, a concept of shock interaction was propose based on the maintenance effect, also a failure rate function evolution model was established jointing maintenance shock and failure shock.Considering the shock interactions among components, a prevent maintenance model was established through imperfect maintenance theory. The cost-effectiveness ratio analysis method and the failure repair timeout punishment mechanism were used to gain optimal preventive maintenance plan. Results show that the maintenance strategy is practical and efficient to get a proper maintenance schedule for the multi-component system. The analysis of component influence degree support that the key component should get more supervision.At the same time, it can ensure the reliability and economy through optimizing system structure and strengthening the flexible connection of system.(3) The invisible competing interests usually contacts between different departments. In order to explore the effects of the invisible competition on the vehicle component preventivemaintenance plan. Considering the dynamic degradation law of vehicle component, a periodic decline failure rate function model was established through imperfect maintenance strategy.Acting operation department and maintenance department as the players, different Stackelberg game models was established based on dynamic non-cooperative game theory,also backward induction was used to find the Nash equilibrium solution. Experimental results show that the game method is feasible and effective to get a reasonable maintenance scheme and the preferential player has an advantage. Compared with the traditional optimization method, the game method has the better dynamics flexibility and adaptability, also can solve the interest conflict between the players and provide important decision support for decision–makers.