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...

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Hauptverfasser:	Egor V. Kuzmin, Oleg E. Gorbunov, Petr O. Plotnikov, Vadim A. Tyukin, Vladimir A. Bashkin
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Yaroslavl State University 2020-09-01
Schriftenreihe:	Моделирование и анализ информационных систем
Schlagworte:	nondestructive testing eddy-current testing rail flaw detection automated analysis of defectograms neural networks
Online-Zugang:	https://www.mais-journal.ru/jour/article/view/1351
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