Condition monitoring of railway wheelsets using acoustic emission

A. Amini, M. Entezami, S. Kerkyras, M. Papaelias

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Railway wheelsets are prone to develop various types of faults either on the surface of the wheel, axle bearing or the axle itself. Wheel defects and axle bearing faults have serious consequences to rolling stock operations as they can inflict damage on rail infrastructure, reduce passenger comfort, increase noise levels in the wheel-rail interface or even lead to derailment. For that reason, various condition monitoring systems are installed wayside in order to evaluate the condition of in-service railway wheelsets. Research carried out by the authors on acoustic emission sensors has showed that acoustic emission sensors can be used for detecting and identifying certain types of wheelset defects. The results of this research are summarised in this paper.

Original languageEnglish
Title of host publication10th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies 2013, CM 2013 and MFPT 2013
PublisherBritish Institute of Non-Destructive Testing
Pages282-288
Number of pages7
ISBN (Print)9781629939926
Publication statusPublished - 2013
Event10th International Conference on Condition Monitoring, CM 2013 and Machinery Failure Prevention Technologies 2013, MFPT 2013 - Krakow, United Kingdom
Duration: 18 Jun 201320 Jun 2013

Publication series

Name10th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies 2013, CM 2013 and MFPT 2013
Volume1

Conference

Conference10th International Conference on Condition Monitoring, CM 2013 and Machinery Failure Prevention Technologies 2013, MFPT 2013
Country/TerritoryUnited Kingdom
CityKrakow
Period18/06/1320/06/13

Keywords

  • Acoustic emission
  • Axle bearing
  • Condition monitoring
  • Defects
  • Railway wheelsets

ASJC Scopus subject areas

  • Mechanical Engineering
  • Safety, Risk, Reliability and Quality

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