Journal article
Non-contact ultrasonic inspection of rails and signal processing for automatic defect detection and classification
Insight (Northampton), v 47(6), pp 346-353
01 Jun 2005
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Recent train accidents, associated direct and indirect costs, as well as safety concerns, have reaffirmed the need for developing rail defect detection systems more effective than those used today. One of the recent developments in rail inspection is the use of ultrasonic guided waves
and non-contact probe techniques to target transverse-type defects. A rail inspection prototype based on these concepts is under development at University of California at San Diego (UCSD). This work reports on the feature extraction and automatic pattern recognition algorithms that are being
tested in the laboratory and will be added to the prototype. The results demonstrate the detection and sizing of transverse, surface-breaking cracks that extend for less than 20% of the rail head cross-sectional area.
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Details
- Title
- Non-contact ultrasonic inspection of rails and signal processing for automatic defect detection and classification
- Creators
- F Lanza di Scalea - University of California San DiegoP Rizzo - University of California San DiegoS Coccia - University of California San DiegoI Bartoli - University of California San DiegoM Fateh - Federal Railroad AdministrationE Viola - Dipartimento di Ingegneria delle Strutture, dei Trasporti, delle Acque, del Rilevamento, del Territorio (DISTART), Universita' degli Studi di Bologna, Viale Risorgimento 2, Bologna 40136, ItaliaG Pascale - Dipartimento di Ingegneria delle Strutture, dei Trasporti, delle Acque, del Rilevamento, del Territorio (DISTART), Universita' degli Studi di Bologna, Viale Risorgimento 2, Bologna 40136, Italia
- Publication Details
- Insight (Northampton), v 47(6), pp 346-353
- Publisher
- British Institute of Non-Destructive Testing
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Civil, Architectural, and Environmental Engineering
- Web of Science ID
- WOS:000229917600010
- Scopus ID
- 2-s2.0-20844460918
- Other Identifier
- 991020547316104721
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Instruments & Instrumentation
- Materials Science, Characterization & Testing