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JOURNALS // Modelirovanie i Analiz Informatsionnykh Sistem

Model. Anal. Inform. Sist., 2021, Volume 28, Number 1, Pages 74–88 (Mi mais736)

An algorithm for correcting levels of useful signals on interpretation of eddy-current defectograms
E. V. Kuzmin, O. E. Gorbunov, P. O. Plotnikov, V. A. Tyukin, V. A. Bashkin

References

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2. A. A. Markov, E. A. Kuznetsova, Rails flaw detection. Formation and analysis of signals, v. 2, Data interpretation, Ultra Print, St. Petersburg, 2014
3. V. F. Tarabrin, A. V. Zverev, O. E. Gorbunov, E. V. Kuzmin, “About data filtration of the defectogram automatic interpretation by hardware and software complex astra”, NDT World, 64:2 (2014), 5–9
4. E. V. Kuzmin, O. E. Gorbunov, P. O. Plotnikov, V. A. Tyukin, “Finding the level of useful signals on interpretation of magnetic and eddy-current defectograms”, Automatic Control and Computer Sciences, 52:7 (2018), 658–666  crossref  mathscinet
5. E. V. Kuzmin, O. E. Gorbunov, P. O. Plotnikov, V. A. Tyukin, “An efficient algorithm for finding the level of useful signals on interpretation of magnetic and eddy current defectograms”, Automatic Control and Computer Sciences, 52:7 (2018), 867–870  crossref  mathscinet
6. E. V. Kuzmin, O. E. Gorbunov, P. O. Plotnikov, V. A. Tyukin, V. A. Bashkin, “Application of neural networks for recognizing rail structural elements in magnetic and eddy current defectograms”, Automatic Control and Computer Sciences, 53:7 (2019), 628–637  crossref  mathscinet
7. E. V. Kuzmin, O. E. Gorbunov, P. O. Plotnikov, V. A. Tyukin, V. A. Bashkin, “Application of convolutional neural networks for recognizing long structural elements of rails in eddy-current defectograms”, Modeling and analysis of information systems, 27:3 (2020), 316–329  mathnet  crossref  mathscinet


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