A bi-objective maintenance scheduling for power feeding substations in electrified railways

被引:15
|
作者
Chen, Shao-kuan [1 ]
Ho, Tin-kin [2 ]
Mao, Bao-hua [1 ]
Bai, Yun [1 ]
机构
[1] Beijing Jiaotong Univ, Sch Traff & Transportat, MOE Key Lab Transportat Complex Syst Theory & Tec, Beijing, Peoples R China
[2] Shantou Univ, Shantou, Guangdong, Peoples R China
基金
中国国家自然科学基金;
关键词
Railway traction power; Maintenance scheduling; Maintainability; Asset management; ARTIFICIAL NEURAL-NETWORKS; PREVENTIVE MAINTENANCE; GENERATING-UNITS; TABU SEARCH; MECHANICAL COMPONENTS; GENETIC ALGORITHMS; OPTIMIZATION; RELIABILITY; SYSTEM; MODEL;
D O I
10.1016/j.trc.2014.04.016
中图分类号
U [交通运输];
学科分类号
08 ; 0823 ;
摘要
Railway infrastructure is characterized by intensive capital investment, long lifecycle and low return. It is crucial to attain a reasonable system reliability while keeping the recurrent cost manageable throughout the asset lifecycle. Power feeding substations are the key assets on electrified rail lines. As they are subject to various adverse operating conditions, maintenance works of different levels are scheduled to ensure reliability and extend the asset life time if possible. Maintenance scheduling is often regarded as a trade-off between reliability and cost. This study incorporates considerations of different levels of maintenance activities to balance between reliability and cost. In establishing the system reliability model, the contribution of individual component reliability toward the overall system reliability is extracted from the functional relationship among the components. Solution methodologies to this scheduling problem are also proposed here. Evaluation of the scheduling model and the proposed solution is discussed and analyzed through simulation. To cater for the operating conditions in different systems, the impact of weighting factors between reliability and cost on the variations of resulting schedules will be investigated. (C) 2014 Elsevier Ltd. All rights reserved.
引用
收藏
页码:350 / 362
页数:13
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