Reliability-based opportunity preventive maintenance optimization model for key components of trains

Abstract

A reliability-based opportunity preventive maintenance optimization model for key components of trains comprises firstly establishing an opportunity preventive maintenance model of the key componentsof a train and a constraint condition thereof, and then obtaining an opportunity service age factor and an opportunity maintenance threshold according to the partial least squares regression method, comprising the steps as follows: firstly initializing the parameters; solving the maintenance service age by the initial value of the preventive maintenance reliability; then using the partial least squares regression method to optimize the model to solve the opportunity service age factor; determining whether the preventive maintenance service age of the component k meets the opportunity maintenance condition, if so, determining whether the component k lacks maintaining or is over-maintained, if not, performing opportunity maintenance on the component k; determining whether the total maintenance service age of the component i is less than or equal to the intended operation cycle; and finally solving the minimum maintenance cost according to the model. The method for the model has fast calculation speed and high solution precision, and the optimized model is capable of effectively reducing the maintenance cost of key components of the train.

Description

technical field [0001] The invention relates to an optimization model for maintenance of key components of a train, in particular to an optimization model for opportunistic preventive maintenance of key components of a train based on reliability. Background technique [0002] With its advantages of convenience, comfort, safety, and high punctuality, urban rail trains have become an important way of travel for people and play an important role in alleviating urban traffic pressure. At the same time, with the development of the urban rail transit industry, the number of trains will increase significantly. Vehicle maintenance is a task to ensure the safe operation of trains. The proportion is the highest, and the research on the maintenance optimization model of key train components plays a vital role in formulating a reasonable repair schedule and reducing maintenance costs. [0003] Preventive maintenance refers to comprehensive inspection and monitoring of the system before...

AI Technical Summary

Problems solved by technology

Traditional preventive maintenance only overhauls a single type of component, and detaining train maintenance will result in high fixed maintenance costs. However, there are structural and economic correlations between key train components, so opportunistic maintenance can be introduced on the basis of traditional preventive maintenance Thought

At present, the research on the maintenance optimization model for key components of trains mainly focuses on the reliability analysis of the components, establishes the maintenance model, and then uses intelligent algorithms to simulate the maintenance model to determine the optimal maintenance cycle. From the perspective of reliability, combined with opportunities Traditional preventive maintenance strategies with maintenance thinking are rare

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