Automatic Rail Flaw Localization and Recognition by Featureless Ultrasound Signal Analysis

Author:

Sulimova Valentina,Zhukov Alexander,Krasotkina Olga,Mottl Vadim,Markov Anatoly

Publisher

Springer International Publishing

Reference32 articles.

1. Jimenez-Redondo, N., Bosso, N., Zeni, L., Minardo, A., Shubert, F., Heinicke, F., Simrothhubert, A.: Automated and cost effective maintenance for railway (ACEM-Rail). Proc. Soc. Behav. Sci. 48, 1058–1067 (2012)

2. Jemec, V., Grum, J.: Automated non-destructive testing and measurement systems for rails. In: 10th European Conference on Non-Destructive Testing, Moscow (2010). www.ndt.net/article/ecndt2010/reports/1_10_42.pdf

3. Markov, A.A., Shpagin, D.A.: Ultrasonic Rail Defectoscopy, 2nd edn, p. 284. Education – Culture, St-Petersburg (2013). (in Russian)

4. Alahakoon, S., Sun, Y.Q., Spiryagin, M., Cole, C.: Rail flaw detection technologies for safer, reliable transportation: a review. J. Dyn. Syst. Meas. Control 140(2), 020801 (2017). https://doi.org/10.1115/1.4037295 . Paper No: DS-17-1110

5. Markov, А.А., Antipov, А.G.: Magnetodynamic method for rail testing. V mire nauki №3(57), 66–71 (2012). (in Russian)

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1. Artificial intelligence-aided detection of rail defects based on ultrasonic imaging data;Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit;2023-11-16

2. Rail Defect Recognition Based on Waveform Subtraction and Rule Base;Journal of Performance of Constructed Facilities;2022-02

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