A guided wave based online health monitoring technique for high-speed train bogie structures

Qiang Wang, Ming Hong, Zhongqing Su, Jing Xu

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

1 Citation (Scopus)

Abstract

Safety of high-speed trains is a key concern from the design process to operation. Considering the limitations of traditional off-line nondestructive testing methods, an active guided Lamb wave-based online damage detection technique was investigated, and a damage detection system built with the technique was implemented online to ensure the safety of bogie frames of running high-speed trains. Miniaturized standard PZT sensors were developed to compose a pitchcatch- based active sensor network for wave excitation and acquisition in the bogie. As a part of the new conformance testing of China's latest high-speed train model, experiments on a bogie frame of the train were carried out and the results from different damage conditions demonstrated high reliability and accuracy of the technique and the system.
Original languageEnglish
Title of host publicationProceedings of the 2013 International Conference on Electrical and Information Technologies for Rail Transportation, EITRT 2013
PublisherSpringer Verlag
Pages311-320
Number of pages10
EditionVOL. 1
ISBN (Print)9783642537776
DOIs
Publication statusPublished - 1 Jan 2014
Event2013 International Conference on Electrical and Information Technologies for Rail Transportation, EITRT 2013 - Changchun, China
Duration: 25 Oct 201327 Oct 2013

Publication series

NameLecture Notes in Electrical Engineering
NumberVOL. 1
Volume287 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

Conference2013 International Conference on Electrical and Information Technologies for Rail Transportation, EITRT 2013
Country/TerritoryChina
CityChangchun
Period25/10/1327/10/13

Keywords

  • Guided Lamb waves
  • High-speed train
  • Online damage detection
  • Structural health monitoring

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering

Cite this