In-situ guided-wave-based health monitoring for train bogie structures: Technique development and application to Beijing-Shanghai high-speed railway

M. Hong, Q. Wang, Zhongqing Su, Li Cheng, Y. Ni

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review


An in-situ online health diagnosis and prognosis sy stem (OH-DPS) for train bogie structures was developed. The system, residing on a PXI platform, was recently installed on China's latest high-speed train model CRH380CL. An active piezoelectric sensor network was permanently attached to the bogie frame of the train to actively actuate and receive ultrasonic guided waves. A mass of signals acquired via the system was processed, from which a wide array of signal features was extracted and fused by the built-in program, to monitor the health status of the bogie in a real-time fashion. During the train's conformance testing on the Beijing-Shanghai High-Speed Railway, continuous health monitoring of the bogie frame was carried out, covering a variety of events including departure, speed-up, full speed operation (300 km/h), emergency brake, track change, and stop. Mock-up damage added to the bogie's side panel was successfully located by the system during the operation, and the detection results were visuali zed in a rapid manner through a diagnostic imaging algorithm. The in-situ experiment has evidently demonstrated the feasibility, practicality, effectiveness and accuracy of guided-wave-based health monitoring for high-speed train bogies under real-world working conditions.
Original languageEnglish
Title of host publicationStructural Health Monitoring 2013
Subtitle of host publicationA Roadmap to Intelligent Structures - Proceedings of the 9th International Workshop on Structural Health Monitoring, IWSHM 2013
PublisherDEStech Publications
Number of pages8
ISBN (Electronic)9781605951157
Publication statusPublished - 1 Jan 2013
Event9th International Workshop on Structural Health Monitoring: A Roadmap to Intelligent Structures, IWSHM 2013 - Stanford University, Stanford, United States
Duration: 10 Sep 201312 Sep 2013


Conference9th International Workshop on Structural Health Monitoring: A Roadmap to Intelligent Structures, IWSHM 2013
Country/TerritoryUnited States

ASJC Scopus subject areas

  • Computer Science Applications
  • Health Information Management

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