Preventive multi-level opportunity maintenance strategy for train based on reliability

被引：0
作者：
He D. [1 ,2 ]
Zhang X. [1 ]
Chen Y. [1 ,2 ]
Miao J. [1 ]
Yao X. [3 ]
机构：
[1] School of Mechanical Engineering, Guangxi University, Nanning
[2] Guangxi Key Laboratory of Manufacturing System and Advanced Manufacturing Technology, Nanning
[3] CRRC Zhuzhou Institute Co., Ltd., Zhuzhou
来源：
Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS | 2023年 / 29卷 / 02期
基金：
中国国家自然科学基金;
关键词：
fault correlation; multi-level opportunity maintenance; preventive maintenance; reliability; train;
D O I：
10.13196/j.cims.2023.02.016
中图分类号：
学科分类号：
摘要：
In view of the problems of over-maintenance and under-maintenance in the current urban rail transit maintenance strategy and the single opportunity maintenance, a multi-component preventive multi-level opportunity maintenance strategy based on reliability was proposed. Based on the analysis of historical fault data, the different levels of opportunity maintenance thresholds were set for different components, and a flexible multi-level opportunity maintenance strategy was established. In addition, the fault rate increase factor and service age reduction factor were introduced into the maintenance strategy, and the optimal preventive maintenance cycle and maintenance times were obtained by combining failure maintenance, preventive maintenance, multi-level opportunity maintenance and preventive replacement according to the reliability. The maintenance of urban rail transit train doors was taken as an example, and the simulation results showed that compared with the single component sequential maintenance strategy, the multi-level opportunity maintenance strategy based on reliability proposed could effectively reduce parking times, save maintenance costs and improve operation efficiency. In an overview of the method, a scientific basis and theoretical reference could be provided to the opportunity maintenance of rail transit equipment. © 2023 CIMS. All rights reserved.
引用
收藏
页码：544 / 555
页数：11
相关论文
共 24 条
  • [1] HE D Q., YANG Y J, CHEN Y J, Et al., An integrated optimization model of metro energy consumption based on regenerative energy and passenger transfer [J], Applied Energy, 264, (2020)
  • [2] LIU H L., Reliability and maintenance modeling for competing risk processes with Weibull inter-arrival shocks [J], Applied Mathematical Modelling, 71, pp. 194-207, (2019)
  • [3] LI Zhaoxin, ZHANG Haiqiang, ZHONG Xuan, Systematic maintenance of the whole service cycle of urban rail transit vehicle on detection state, Urban Mass Transit, 2048, 8, pp. 138-141
  • [4] HE Dcqiang, LUO An, DENG Jianxin, Et al., Optimization model of preventive maintenance decision-making for train bogie key compoents, Computer Integrated Manufacturing Systems, 24, 5, pp. 1155-1161, (2018)
  • [5] KUBOKI N, TAKATA S., Selecting the optimum inspection method for preventive maintenance [J], Proccdia Cire, 80, pp. 512-517, (2019)
  • [6] HUYNH K T, GRALL A., A condition-based maintenance model with past-dependent imperfect preventive repairs for continuously deteriorating systems [J], Journal of Risk and Reliability, 234, 2, pp. 333-358, (2020)
  • [7] WU T Y, MA X B, YANG L, Et al., Proactive maintenance scheduling in consideration of imperfect repairs and production wait time, Journal of Manufacturing Systems, 53, pp. 183-194, (2019)
  • [8] MULLOR R, MULERO J, TROTTINI M., A modelling approach to optimal imperfect maintenance of repairable equipment with multiple failure modes [J], Computers &. Industrial Engineering, 128, pp. 24-31, (2019)
  • [9] DOYEN L, GAUDOIN O, SYAMSUNDAR A., On geometric reduction of age or intensity models for impcrfect [J], Reliability Engineering & System Safety, 168, pp. 40-52, (2017)
  • [10] HE Dcqiang, LUO An, XIAO Hongsheng, Et al., Research on optimization model of opportunistic preventive maintenance of train key components based on reliability [J], Journal of the China Railway Society, 42, 5, pp. 37-43, (2020)
123