Journal article
Laser-air-coupled hybrid noncontact system for defect detection in rail tracks: Status of FRA prototype development at University of California-San Diego
Transportation research record, v 1943(1943), pp 57-64
01 Jan 2006
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Recent train accidents, with associated direct and indirect costs as well as safety concerns, have reaffirmed the need for developing rail defect detection systems that are more effective than those used today. One of the recent developments in rail inspection is the use of ultrasonic guided waves and noncontact probing techniques to target transverse-type defects. Besides the obvious advantages of noncontact probing, which include robustness and potential for large inspection speed, such a system can detect transverse defects under horizontal shelling or head checks. A rail inspection prototype based on these concepts and funded by the FRA is under development at the University of California-San Diego. This work reports on the status of the prototype development, including hardware and software development. Key features of the software are the feature extraction and the automatic pattern recognition algorithms. The laboratory results demonstrate the detection and sizing of transverse, surface-breaking cracks that extend for less than 20% of the rail head cross-sectional area.
Metrics
5 Record Views
Details
- Title
- Laser-air-coupled hybrid noncontact system for defect detection in rail tracks: Status of FRA prototype development at University of California-San Diego
- Creators
- Francesco Lanza di Scalea - University of California San DiegoPiervincenzo Rizzo - University of California San DiegoStefano Coccia - University of California San DiegoIvan Bartoli - University of California San DiegoMahmood Fateh - Federal Railroad Administration
- Publication Details
- Transportation research record, v 1943(1943), pp 57-64
- Publisher
- Transportation Research Board Natl Research Council
- Number of pages
- 8
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Civil, Architectural, and Environmental Engineering
- Web of Science ID
- WOS:000241323500008
- Other Identifier
- 991020547444004721
UN Sustainable Development Goals (SDGs)
This publication has contributed to the advancement of the following goals:
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Engineering, Civil
- Transportation Science & Technology