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Journal of Failure Analysis and Prevention
Erschienen in: Journal of Failure Analysis and Prevention 3/2007

01.06.2007 | Peer Reviewed

Structural Health Monitoring of Railroad Wheels Using Wheel Impact Load Detectors

verfasst von: Brant Stratman, Yongming Liu, Sankaran Mahadevan

Erschienen in: Journal of Failure Analysis and Prevention | Ausgabe 3/2007

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Abstract

This paper proposes two quantitative criteria for removing railroad wheels from service, based on real-time structural health monitoring trends that are developed using data collected from trains while in service. The data is collected using wheel impact load detectors (WILDs). These impact load trends are able to distinguish wheels with a high probability of failure from high-impact wheels with a low probability of failure. The trends indicate the critical wheels that actually need to be removed, while at the same time allowing wheels that aren’t critical to remain in service. As a result, the safety of the railroad will be much improved by being able to identify and remove wheels that have high likelihood of causing catastrophic failures.
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Metadaten
Titel
Structural Health Monitoring of Railroad Wheels Using Wheel Impact Load Detectors
verfasst von
Brant Stratman
Yongming Liu
Sankaran Mahadevan
Publikationsdatum
01.06.2007
Erschienen in
Journal of Failure Analysis and Prevention / Ausgabe 3/2007
Print ISSN: 1547-7029
Elektronische ISSN: 1864-1245
DOI
https://doi.org/10.1007/s11668-007-9043-3

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