SHM-enriched high speed rail systems

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

3 Citations (Scopus)

Abstract

To keep safe and efficient operations of high speed rail (HSR), a great endeavor is being devoted to developing smarter railways by integrating sensors, information technology, database and predictive modelling tools, aiming at online evaluation of the HSR operational condition and prognosis of breakdown before it occurs. In addition to the on-board instrumentation for rail assets including tracks, trains and pantographs, the sensory system involves monitoring external actions (aerodynamic and earthquake) and detecting obstacles as well. The analytic and predictive modelling tools would be able to tackle the highly heterogeneous data, uncertainties associated with changing operation and interface status, false positives resulting from sensor fault/malfunction, as well as evolutionary updating and self-adapting of data-driven prognostic models in real time or near real time. Such a smart rail technology is anticipated to empower rail operators to sense and respond quickly to irregular operations and to act appropriately once a breakdown is forecasted.
Original languageEnglish
Title of host publicationStructural Health Monitoring 2015
Subtitle of host publicationSystem Reliability for Verification and Implementation - Proceedings of the 10th International Workshop on Structural Health Monitoring, IWSHM 2015
PublisherDEStech Publications
PagesK23-K29
Volume2
ISBN (Electronic)9781605951119
Publication statusPublished - 1 Jan 2015
Event10th International Workshop on Structural Health Monitoring: System Reliability for Verification and Implementation, IWSHM 2015 - Stanford University, Stanford, United States
Duration: 1 Sep 20153 Sep 2015

Conference

Conference10th International Workshop on Structural Health Monitoring: System Reliability for Verification and Implementation, IWSHM 2015
CountryUnited States
CityStanford
Period1/09/153/09/15

ASJC Scopus subject areas

  • Computer Science Applications
  • Health Information Management

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