Application of Convolutional Neural Networks for Recognizing Long Structural Elements of Rails in Eddy-Current Defectograms
To ensure traffic safety of railway transport, non-destructive test of rails is regularly carried out by using various approaches and methods, including eddy-current flaw detection methods. An automatic analysis of large data sets (defectograms) that come from the corresponding equipment is an actua...
Main Authors: | Egor V. Kuzmin, Oleg E. Gorbunov, Petr O. Plotnikov, Vadim A. Tyukin, Vladimir A. Bashkin |
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Format: | Article |
Language: | English |
Published: |
Yaroslavl State University
2020-09-01
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Series: | Modelirovanie i Analiz Informacionnyh Sistem |
Subjects: | |
Online Access: | https://www.mais-journal.ru/jour/article/view/1351 |
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