A reliability-based preventive maintenance optimization method for metro vehicle multi-components

Abstract

The invention discloses a reliability-based preventive maintenance optimization method for multi-components of metro vehicles, A method for determine that optimal maintenance interval of a single component of a metro vehicle is proposed, that is to say, imperfect maintenance mode is applied to each single component, based on component maintenance economy and train availability, By comparing the effects of component faults on equipment safety, the optimal maintenance interval is determined. Secondly, the opportunistic maintenance threshold delta t is introduced, and the opportunistic maintenance strategy of metro train multi-component system considering the time correlation between components is adopted. According to the operation and maintenance characteristics of metro train, the opportunistic maintenance model of metro train multi-component system is established. Finally, the steps to solve the model are given. On the premise that the invention can meet the reliability requirement, the maintenance cost and the train availability are optimized simultaneously, and the optimal maintenance plan can be obtained by solving the problem, thereby providing theoretical support for the maintenance optimization of the metro train.

Description

technical field [0001] The invention belongs to the technical field of urban rail transit vehicle safety, and in particular relates to a preventive maintenance optimization method for subway vehicles, in particular to a reliability-based preventive maintenance optimization method for multiple components of a subway vehicle. Background technique [0002] In recent years, my country's urban rail transit (hereinafter referred to as urban rail transit) has developed rapidly. As of the end of 2017, a total of 34 cities in mainland China have opened urban rail transit and put it into operation. , accounting for 77.2%), with a total of more than 4871 vehicles. Metro vehicles are an important fixed asset of an enterprise. According to statistics, the purchase cost of vehicles accounts for about 45% to 50% of the total investment in subway equipment, accounting for 15% to 20% of the total investment in the subway. Maintenance can be achieved with less resource consumption. The new eq...

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Problems solved by technology

In view of the above reasons, even though most of the research results on the optimization of preventive maintenance of subway vehicles at home and abroad are mostly aimed at single-objective optimization problems, although some literatures have proposed an availability model, they are only used as constraints. Although some literatures consider imperfect maintenance, they are not All of them only involve the service life regression model. The current research mainly focuses on single components, and the multi-component system is relatively rare. The existing multi-component system research mostly uses two-parameter Weibull distribution when solving the cumulative fault distribution function of components. In contrast, the three-parameter Weibull distribution has a stronger ability to fit fault data. Metro vehicles are composed of several typical multi-component systems. Research on special systems, but there is no multi-component system preventive maintenance optimization model for the operation and maintenance characteristics of subway vehicles

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