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Automatic Rail Flaw Localization and Recognition by Featureless Ultrasound Signal Analysis

  • Valentina SulimovaEmail author
  • Alexander Zhukov
  • Olga Krasotkina
  • Vadim Mottl
  • Anatoly Markov
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10934)

Abstract

Ultrasound testing is a popular technique to find some hidden rail damages. In this paper we focus on the modern Russian railway flaw detectors, such as AVICON-14, which produce the results of ultrasound testing in the form of B-scan signals. We propose an approach simple enough to do fast automatic localization of B-scan signal segments, which could contain rail flaws. In order to recognize the selected segments as flaws of some kind or not flaws we apply SVM classifier jointly with DTW-based dissimilarity measure, specifically adapted by us to B-scan signals. To improve rail flaw localization and recognition quality we preprocess B-scan signals by applying some filter and making their convergence. Fast localization procedure jointly with CUDA implementation of B-scan segments comparison possesses the possibility to process big amounts of data. The experiments have shown that all rail flaws have been localized correctly and cross-validation ROC-score = 0.82 for the rail flaw recognition has been reached.

Keywords

Russian railways Ultrasound testing B-scan Rail flaw localization Rail flaws recognition DTW SVM Featureless approach 

Notes

Acknowledgements

The results of the research project are published with the financial support of Tula State University within the framework of the scientific project № 2017-66PUBL.

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Valentina Sulimova
    • 1
    Email author
  • Alexander Zhukov
    • 2
  • Olga Krasotkina
    • 3
  • Vadim Mottl
    • 1
    • 4
  • Anatoly Markov
    • 5
  1. 1.Tula State UniversityTulaRussia
  2. 2.Sberbank of RussiaMoscowRussia
  3. 3.Markov Processes InternationalSummitUSA
  4. 4.Computing Center of the Russian Academy of SciencesMoscowRussia
  5. 5.Radioavionica CorporationSaint-PetersburgRussia

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