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<p>The revised abstract is as follows: In recent years, intelligent operation and maintenance systems, including fault diagnosis and prognosis, health management, and maintenance management systems, have been increasingly deployed in newly constructed and existing metro lines. This paper first reviews the research progress of fault diagnosis technologies for metro vehicles, and then investigates the deployment status of integrated intelligent urban rail transit operation and maintenance systems as well as metro vehicle fault diagnosis and health management systems in China. A practical engineering case from an in-service metro project is further analyzed, revealing that the actual application performance of current fault diagnosis and health management systems does not fully match the fault characteristics of critical components during operation. Finally, optimization suggestions and future research directions are proposed for engineering deployment of monitoring devices and fault diagnosis algorithms for key metro vehicle components, including monitoring methods, signal processing, intelligent diagnosis, transfer diagnosis, and remaining useful life prediction.</p>

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Experimental investigation and deployment analysis of data-driven fault diagnosis methods for metro vehicles

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年6月22日

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  • Xichun Luo,
  • Jianlin Mao,
  • Tao Liu,
  • Zifang Sun

摘要

The revised abstract is as follows: In recent years, intelligent operation and maintenance systems, including fault diagnosis and prognosis, health management, and maintenance management systems, have been increasingly deployed in newly constructed and existing metro lines. This paper first reviews the research progress of fault diagnosis technologies for metro vehicles, and then investigates the deployment status of integrated intelligent urban rail transit operation and maintenance systems as well as metro vehicle fault diagnosis and health management systems in China. A practical engineering case from an in-service metro project is further analyzed, revealing that the actual application performance of current fault diagnosis and health management systems does not fully match the fault characteristics of critical components during operation. Finally, optimization suggestions and future research directions are proposed for engineering deployment of monitoring devices and fault diagnosis algorithms for key metro vehicle components, including monitoring methods, signal processing, intelligent diagnosis, transfer diagnosis, and remaining useful life prediction.