Urban rail electrical equipment variable maintenance cycle setting method considering environmental influence

Abstract

The invention discloses an urban rail electrical equipment variable maintenance cycle setting method considering environmental influence, wherein the method comprises the steps: selecting an optimal fitting distribution function of an equipment fault probability distribution model based on a K-S detection method, estimating distribution parameters through employing a maximum likelihood estimation method, and obtaining an equipment fault probability distribution model under different environmental influences; based on a neural network, obtaining a relation between an environment variable and a distribution parameter, and constructing an equipment fault condition probability distribution model under a certain environment influence; and finally, formulating a variable maintenance period of the urban rail electrical equipment by taking the reliability as a constraint.

Description

technical field [0001] The invention relates to the technical field of maintenance management of urban rail transit equipment, in particular to a method for formulating variable maintenance periods of urban rail electrical equipment in consideration of environmental impact. Background technique [0002] The stable operation of various equipment in the urban rail transit system is the premise to ensure the safety and quality of operation. For urban rail transit enterprises, frequent equipment failures will increase the workload of maintenance personnel and increase the total cost of equipment maintenance. Sudden failure of equipment may not only cause equipment shutdown, reduce equipment reliability, reduce production efficiency and service level, but even endanger the lives and property safety of passengers. In 2009, vehicles collided on the red line of the Washington Metro in the United States, causing 9 deaths and 80 injuries. Abnormal on-board equipment; In 2014, the Mos...

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Problems solved by technology

[0004] Scholars at home and abroad have proposed several methods to determine the maintenance cycle of equipment, among which the method of modeling and solving the maintenance cycle with the goal of maximum availability and minimum average maintenance cost is the most widely used, but these studies do not consider the environment when fitting the probability distribution. Factors that affect equipment health

Some scholars have introduced the age-decreasing factor and the failure rate increasing factor to calculate the hybrid failure rate and applied it to the equipment maintenance cycle model, considering the influence of the number of failures, but it is difficult to apply to electrical equipment that is affected by environmental changes and causes more random failures

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