A guided wave approach for real-time health monitoring of high-speed train bogie frames

Ming Hong, Qiang Wang, Zhongqing Su

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

4 Citations (Scopus)

Abstract

An online health monitoring system (OHMS) was tailor-made and implemented for structural health monitoring (SHM) of train structures. A sensor network made up of miniature piezoelectric wafers was configured on the bogie frames of China's latest high-speed train model. Ultrasonic guided waves were generated through the sensor network, and a variety of signal features were retrieved and fused by the system's built-in program. During the train's conformance testing on the Beijing-Shanghai High-Speed Railway, continuous SHM was carried out for departure, speed-up, full speed operation (300 km/h), emergency brake, track change, and stop. Artificial damage affixed to the bogie's side panel was successfully located by the OHMS under both static and dynamic conditions, and the results were rapidly visualized through a probability-based diagnostic imaging algorithm. This in-situ test has demonstrated the practicality and effectiveness of guided-wave-based SHM for high-speed train bogies under working conditions.
Original languageEnglish
Title of host publicationFENDT 2014 - Proceedings, 2014 IEEE Far East Forum on Nondestructive Evaluation/Testing
Subtitle of host publicationNew Technology and Application, Increasingly Perfect NDT/E
PublisherIEEE
Pages39-43
Number of pages5
ISBN (Electronic)9781479947317
DOIs
Publication statusPublished - 16 Oct 2014
Event2014 IEEE 11th Far East Forum on Nondestructive Evaluation/Testing: New Technology and Application, FENDT 2014 - Chengdu, China
Duration: 20 Jun 201423 Jun 2014

Conference

Conference2014 IEEE 11th Far East Forum on Nondestructive Evaluation/Testing: New Technology and Application, FENDT 2014
CountryChina
CityChengdu
Period20/06/1423/06/14

Keywords

  • damage detection
  • guided waves
  • high-speed trains
  • structural health monitoring

ASJC Scopus subject areas

  • Safety, Risk, Reliability and Quality

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