Research on Fault Diagnosis of Vehicle Equipment for High-speed Railway Based on Case-Based Reasoning

机译：基于案例推理的高速铁路车辆设备故障诊断研究

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摘要

Vehicle equipment plays an important role in high-speed railway train control system for safety protection and efficiency improving. The role of vehicle equipment for high-speed railway can be affected by a number of uncertain faults and these faults have characteristics of diversity, concealment, and overlap. To solve the above problems, this paper proposes a new algorithm to detect faults of vehicle equipment based on Case-based Reasoning. A database is created based on previous successful cases and features of these cases are extracted. Then fault causes of vehicle equipment are derived by matching the information of target cases to cases in the database. Then maintenance suggestions are given according to fault causes of vehicle equipment. The test result shows that the algorithm can diagnose faults of vehicle equipment for high-speed railway accurately and effectively.

机译：车辆设备在高速铁路列车控制系统中为安全保护和提高效率起着重要作用。高速铁路车辆设备的作用会受到许多不确定故障的影响，这些故障具有多样性，隐蔽性和重叠性。针对上述问题，本文提出了一种基于事例推理的车辆装备故障检测新算法。根据先前成功的案例创建数据库，并提取这些案例的特征。然后通过将目标案例的信息与数据库中的案例进行匹配，得出车辆设备的故障原因。然后根据车辆设备的故障原因给出维护建议。测试结果表明，该算法能够准确，有效地诊断出高速铁路车辆设备的故障。

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来源
《Proceedings of the 3rd international conference on electrical and information technologies for rail transportation: transportation》|2017年|343-353|共11页
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作者
Lixuan Chen; Dongxiu Ou; Hongjing Yao;
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作者单位

Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, Shanghai, China;

Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, Shanghai, China;

Electricity Section, Jinan Railway Administration, Jinan, China;

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原文格式 PDF
正文语种 eng
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关键词
Railway vehicle equipment; Fault diagnosis; Case-based reasoning Similarity match;

机译：铁路车辆设备；故障诊断；基于案例的推理相似度匹配;

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2. Weighted Fuzzy Reasoning Spiking Neural P Systems: Application to Fault Diagnosis in Traction Power Supply Systems of High-Speed Railways [J] . Wang Tao, Zhang Gexiang, Perez-Jimenez Mario J., Journal of computational and theoretical nanoscience . 2015,第7期

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3. A fault diagnosis application based on a combination case-based reasoning and ontology approach [J] . Nadjette Dendani-Hadiby, M. Tarek Khadir International journal of knowledge-based and intelligent engineering systems . 2013,第4期

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4. Research on Fault Diagnosis of Vehicle Equipment for High-speed Railway Based on Case-Based Reasoning [C] . Lixuan Chen, Dongxiu Ou, Hongjing Yao International conference on electrical and information technologies for rail transportation: transportation . 2018

机译：基于案例推理的高速铁路车辆设备故障诊断研究
5. An evaluation of case-based reasoning for fault diagnosis. [D] . Cookson, Robert Laughlin. 1997

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6. A clinical decision support system for the diagnosis of probable migraine and probable tension-type headache based on case-based reasoning [O] . Ziming Yin, Zhao Dong, Xudong Lu, 2015

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7. Fault Diagnosis for Vehicle on-Board Equipments of High-Speed Railway Based on GA-ANFIS Model [O] . Linggang Kong, Shuo Li, Xinlong Chen, 2020

机译：基于GA-ANFIS模型的高速铁路车辆车载设备的故障诊断

Research on Fault Diagnosis of Vehicle Equipment for High-speed Railway Based on Case-Based Reasoning

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