High-Speed and Large Lift-Off Rail Near-Surface Defect Detection Based on Induction Thermography
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Le résumé fourni par la source
The occurrence of near-surface defects in service steel rails is prevalent. Rapid detection and accurate quantitative evaluation of rail defects are of practical significance for railway operation safety and cost control. Previous studies indicate that high-speed and large lift-off distance detection have become the technical bottleneck for existing non-destructive testing (NDT) methods. To address these difficulties, a novel rectangular-reciprocating-plane sensing structure with its supporting system based on electromagnetic induction thermography technology is proposed. It can address the challenge of insufficient transient heat accumulation time through large range of excitation space under high-speed motion model. That is, it mitigates the influence of lift-off distance fluctuation on detection and evaluation accuracy, offering a new technical perspective in rail inspection beyond conventional electromagnetic NDT methods. Ulteriorly, in-situ experiments on calibration and in-service route are carried out to validate the detection effectiveness of the proposed perceptual structure under high-speed (40-80 km/h) and large lift-off (30 mm) conditions. In addition, the integrated intelligent rail inspection system provides an innovative way for near-surface defect of fast inspection on railways.
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Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- High-Speed and Large Lift-Off Rail Near-Surface Defect Detection Based on Induction Thermography
- Date Crossref
- 01/01/2025
- Éditeur
- Institute of Electrical and Electronics Engineers (IEEE)
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
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