Recent train accidents, associated direct and indirect costs, well as safety concerns, have reaffirmed the need for rail defect detection systems more effective than used today. One of the recent developments in rail is the use of ultrasonic guided waves and noncontact techniques to target transverse-type defects. rail inspection prototype based on these concepts is under at University of California at San Diego (UCSD. work reports on the feature extraction and automatic recognition algorithms that are being tested in the and will be added to the prototype. The results the detection and sizing of transverse, surfacebreaking that extend for less than 20% of the rail cross-sectional area.
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Scalea et al. (2005) studied this question.
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