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A novel multi-state bogie system reliability evaluation approach by extended d-MC model for high-speed trains

Transportation Safety and Environment 2024年第3期6卷 35-46页

作者： Yong Fu Ruoqu Liu Jisheng Dai Wenlong Zhu Xin Liu Yong Qin Zhuzhou CRRC Times Electric Co. Ltd.Times RoadShifeng DistrictZhuzhouHunan 412001China Department of Statistics University of WarwickCoventry CV47ALUnited Kingdom State Key Lab of Rail Traffic Control&Safety Beijing Jiaotong UniversityHaidian DistrictBeijing 100044China

Bogie is a pivotal system and plays a critical part in the safety and reliability management of high-speed ***,the available bogie system reliability analysis methods lack the consideration of multi-state characteristics,and the common multi-state reliability analysis methods,being an NP-hard problem,lead to low *** order to overcome these drawbacks,this paper proposes a novel multi-state rail train bogie system reliability analysis approach based on the extended d-MC *** different function interactions within the bogie system are considered to build the multi-state bogie system flow network ***,an extended d-MC model is established to remove unnecessary d-MC candidates and duplicates,which greatly enhances the computing *** bogie system reliability is calculated,and examples are *** experiments are carried out for the different operational conditions of the bogie system and are used to test the practicability of the method proposed in this article;it is found that this method outperforms a newly developed method in solving multi-state reliability problems.

关键词： multi-state system reliability bogie flow network extended d-MC model

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Multi-component system maintenance optimization of a rail transit train based on opportunistic correlations

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Transportation Safety and Environment 2023年第4期5卷 182-191页

作者： Jisheng Dai Rongjun Ding Yong Fu Yong Qin College of Mechanical and Vechicle Engineering Hunan UniversityYuelu DistrictChangshaHunan 410082China Zhuzhou CRRC Times Electric Co. Ltd.Shifeng DistrictZhuzhouHunan 412001China State Key Lab of Rail Traffic Control&Safety Beijing Jiaotong UniversityHaidian DistrictBeijing 100044China

ln order to deal with the problems of insufficient or excessive maintenance in the current maintenance activities of China transit trains,this paper develops a novel multi-component system maintenance optimization approach based on an opportunistic correlation *** on the minimal reliability and failure rate change rule of each train component,the novel proposed maintenance optimization benefits from an improved opportunistic maintenance model with system structure correlation,fault correlation and reliability correlation under imperfect ***,different maintenance modes can be determined by a proposed mainte-nance factor under the different conditions of ***,the reliability threshold of each component is also considered to optimize the maintenance cost by the system reliability and operational availability of the ***,as the mentioned problem belongs to the NP-Hard optimization problems,a modified particle swarm optimization(PSO)with the improvement of inertia weight is proposed to cope with the optimization *** on a specific case under the practical recorded failure data,the analysis shows that the proposed model and approach can effectively cut the maintenance cost.

关键词： multi-component system maintenance optimization rail transit train opportunistic correlation modified particle swarm optimization(PSO)

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