摘要
传统的牵引供电设备固定计划维修模式存在着维修过剩与维修不足的问题,随着维管单位和牵引变电所信息化水平的逐步提高,状态维修模式取代固定计划维修模式已成为可能。本文将设备健康状态引入牵引供电设备维修决策中,基于马尔可夫决策过程建立牵引供电设备的维修决策模型。该模型考虑了基于Gauss-Poisson过程的牵引供电设备全寿命周期健康状态劣化过程和预防性维修过程,以设备全寿命周期的单位时间综合成本为优化目标,采用策略迭代法实现牵引供电设备在不同健康状态下最优维修方式和维修周期的选择。结果表明该模型可行有效,为优化牵引供电设备的维修维护方案,实现状态维修提供依据。
Traditional planned maintenance mode for traction power supply equipment may lead to excessive maintenance or inadequate maintenance.The gradual improvement of information technology of maintenance units and traction substations makes possible the replacement of planned maintenance mode by condition-based maintenance mode.In this paper,the equipment health status was introduced in the maintenance decision-making for traction power supply equipment and a health condition-based maintenance decision-making model was proposed based on Markov decision process.The model took into account the health status deterioration process based on Gauss-Poisson process of the whole life cycle of the equipment and planned preventive maintenance process.With the maintenance cost per unit time of the whole life cycle of the equipment as the optimization goal,the strategy iteration method was used to realize the optimal maintenance mode and maintenance cycle of the traction power supply equipment under different health conditions.Case study proved the validity and effectiveness of the method,which provides a basis for the optimization of maintenance scheme and realization of condition-based maintenance of traction power supply equipment.
出处
《铁道学报》
EI
CAS
CSCD
北大核心
2017年第11期38-45,共8页
Journal of the China Railway Society
基金
国家自然科学基金(51525702)
中国铁路总公司科技研究开发计划(2015J008-A
2016J010-A)
广东省省级科技计划(2015B010128002)
关键词
牵引供电设备
劣化过程
维修决策
马尔可夫决策过程
traction power supply equipment
deterioration process
maintenance decisions
Markov decision process