Conventional maintenance mode for the traction power supply system(TPSS)is to perform scheduled regular maintenance activities for power supply equipment,while such maintenance mode may result in undue maintenance tas...Conventional maintenance mode for the traction power supply system(TPSS)is to perform scheduled regular maintenance activities for power supply equipment,while such maintenance mode may result in undue maintenance tasks and low efficiency due to different degradation processes of different sorts of equipment.To address this problem,this paper introduces a preventive opportunistic maintenance(POM)method for TPSS based on equipment reliability.Firstly,a POM model is established by considering the equipment reliability degradation process based on Weibull distribution.Then,by considering the total power outage time in the planned operation cycle of TPSS as the optimization objective,the optimal maintenance scheme of TPSS is formulated by iterative method of maintenance strategies.The proposed method is verified by introducing practical maintenance strategies and fault record data of the traction transformer,circuit breaker and disconnector in an actual TPSS of a railway administration.Results show that the presented method can make full use of the existing fault data to develop a POM scheme for TPSS.It can improve maintenance efficiency and reduce power outage time,providing guidance to formulate scientific maintenance strategies for TPSS.展开更多
We study the single-machine preemptive scheduling problem with multiple maintenance activities to minimize the total late work,in which the jobs must be processed in the time space not occupied by the maintenance inte...We study the single-machine preemptive scheduling problem with multiple maintenance activities to minimize the total late work,in which the jobs must be processed in the time space not occupied by the maintenance intervals.For this problem,we present a polynomial algorithm to determine the optimal schedule and establish a formula expression to the optimal value.Moreover,our result is used to correct some minor errors in the literature related to the single-machine(preemptive or non-preemptive)scheduling with one maintenance activity to minimize the total late work.展开更多
基金the National Natural Science Foundation of China under Grant(51907166)the Science and Technology Project of CHINA RAILWAY under Grant(2017J001-F&N2018G023)the Sichuan Science and Technology Program under Grant(2018GZ0020).
文摘Conventional maintenance mode for the traction power supply system(TPSS)is to perform scheduled regular maintenance activities for power supply equipment,while such maintenance mode may result in undue maintenance tasks and low efficiency due to different degradation processes of different sorts of equipment.To address this problem,this paper introduces a preventive opportunistic maintenance(POM)method for TPSS based on equipment reliability.Firstly,a POM model is established by considering the equipment reliability degradation process based on Weibull distribution.Then,by considering the total power outage time in the planned operation cycle of TPSS as the optimization objective,the optimal maintenance scheme of TPSS is formulated by iterative method of maintenance strategies.The proposed method is verified by introducing practical maintenance strategies and fault record data of the traction transformer,circuit breaker and disconnector in an actual TPSS of a railway administration.Results show that the presented method can make full use of the existing fault data to develop a POM scheme for TPSS.It can improve maintenance efficiency and reduce power outage time,providing guidance to formulate scientific maintenance strategies for TPSS.
基金Supported by National Natural Science Foundation of China(Grant Nos.12071442,12201186).
文摘We study the single-machine preemptive scheduling problem with multiple maintenance activities to minimize the total late work,in which the jobs must be processed in the time space not occupied by the maintenance intervals.For this problem,we present a polynomial algorithm to determine the optimal schedule and establish a formula expression to the optimal value.Moreover,our result is used to correct some minor errors in the literature related to the single-machine(preemptive or non-preemptive)scheduling with one maintenance activity to minimize the total late work.
