High-speed rail flaw pattern recognition and classification

R. Mark Havira; Jinzhu Chen

doi:10.1117/12.212690

30 June 1995 High-speed rail flaw pattern recognition and classification

R. Mark Havira, Jinzhu Chen

Proceedings Volume 2458, Nondestructive Evaluation of Aging Railroads; (1995) https://doi.org/10.1117/12.212690
Event: Nondestructive Evaluation of Aging Infrastructure, 1995, Oakland, CA, United States

Abstract

A real time system for automated rail inspection and flaw classification at speeds up to 25 mph is described. To maintain a fast testing rate, a distributed multiple processor configuration is used for the high speed portion of the system. A graphics computer provides for real time visualization and playback analysis in a modified B-Scan format. A hierarchical approach is used to distribute the total pattern recognition task into a set of stages in which the recognition results at one stage provide input data of the next stage.

Citation Download Citation

R. Mark Havira and Jinzhu Chen "High-speed rail flaw pattern recognition and classification", Proc. SPIE 2458, Nondestructive Evaluation of Aging Railroads, (30 June 1995); https://doi.org/10.1117/12.212690

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