Reliability prediction optimization method for key components of urban rail train

Abstract

The invention discloses a reliability prediction optimization method for key components of an urban rail train, and the method comprises the steps: collecting and obtaining fault maintenance information of the urban rail train, screening out the fault maintenance information of the key components as fault sample information, and building a data set of the fault maintenance information of the key components of the urban rail train; carrying out data integration fuzzy processing on the fault maintenance information of different key components; constructing an urban rail train key component reliability prediction optimization model based on an improved HHO algorithm to optimize various parameter values of the key component, and realizing parameter estimation of reliability in the reliability prediction optimization model through a graph parameter estimation method; and optimizing parameter values by using a cyclic test process, substituting the tested parameter values into the reliability prediction optimization model, and carrying out pre-curve measurement on the reliability of the key parts of the train. According to the method, the prediction precision of the key components of the urban rail train is greatly improved, and the problem of over-maintenance or under-maintenance of the urban rail train in the maintenance process is reduced.

Description

technical field [0001] The invention belongs to the technical field of reliability analysis of urban rail trains, and in particular relates to a method for predicting and optimizing the reliability of key parts of urban rail trains. Background technique [0002] With the acceleration of urbanization in our country, the number of urban rail transit trains has increased dramatically, and has gradually become the most important travel tool in urban traffic. As the core component of rail transit construction, the reliability of vehicles directly affects operational safety. Technically speaking, reliability refers to the probability that the equipment will successfully complete its specified function (without failure) under certain working conditions and within a certain period of time. Reliability is the standard to measure whether the key components of the train need to be overhauled. . Safety and reliability are the necessary prerequisites for the sustainable development of r...

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to provide a reliability prediction optimization method for key components of urban rail trains. The reliability prediction optimization method of the present invention aims at low accuracy, poor versatility, large calculation load and easy localization in the current urban rail transit train reliability prediction. The optimal problem can quickly and effectively predict the reliability curve of key components of urban rail trains, and reduce the problems of "over-maintenance" or "under-maintenance" in the process of train maintenance.

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