Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/55603
Title: SHM-enriched high speed rail systems
Authors: Ni, YQ 
Issue Date: 2015
Publisher: DEStech Publications
Source: Structural Health Monitoring 2015: System Reliability for Verification and Implementation - Proceedings of the 10th International Workshop on Structural Health Monitoring, IWSHM 2015, 1-3 September 2015, v. 2, p. K23-K29 How to cite?
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.
URI: http://hdl.handle.net/10397/55603
ISBN: 9781605951119
Appears in Collections:Conference Paper

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