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contributor authorDatta, Diptojit;di Scalea, Francesco Lanza
date accessioned2022-12-27T23:18:28Z
date available2022-12-27T23:18:28Z
date copyright9/14/2022 12:00:00 AM
date issued2022
identifier issn2572-3901
identifier othernde_5_4_041007.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4288346
description abstractThis paper presents a high-speed noncontact rail inspection technique that has the potential of detecting internal rail defects at regular (revenue) train speeds. The technique utilizes an array of capacitive air-coupled ultrasonic transducers in continuous recording mode to extract a reconstructed transfer function for a rail segment in a passive manner. The passive approach utilizes the ambient excitation of the rail induced by the wheels of the test car and eliminates the need for a controlled source. A normalized cross-correlation operator with modified Welch's periodogram technique is used to extract the transfer function in a manner that is independent of the uncontrolled excitation source (rolling wheels). Discontinuities in the rail (e.g., joints, welds, and defects) alter the reconstructed transfer function which is statistically tracked using an outlier analysis for detection robustness and sensitivity. Field tests were carried out with a prototype at the Transportation Technology Center Inc. (TTCI) in Pueblo, CO at testing speeds of up to 80 mph. The performance of the system in detecting rail discontinuities was assessed via receiver operating characteristic curves for a range of varying operational parameters such as excitation strength, baseline distribution length, testing speed, and multiple runs.
publisherThe American Society of Mechanical Engineers (ASME)
titleHigh-Speed Inspection of Rails by Passive Ultrasonic Monitoring
typeJournal Paper
journal volume5
journal issue4
journal titleJournal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
identifier doi10.1115/1.4055382
journal fristpage41007
journal lastpage41007_9
page9
treeJournal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems:;2022:;volume( 005 ):;issue: 004
contenttypeFulltext


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