Application of the wavelet and neural technologies for processing of signals obtained during railway tracks diagnostics by the magnetic flux leakage method
Journal Title: Bulletin of the Military University of Technology - Year 2017, Vol 66, Issue 4
Abstract
In this article, the approach for detecting a transverse crack in the rail head via ANN with CWT and application created on its basis are presented. The ways of further development of the ANN for improving its work accuracy and the possibility of identification of other types of defects are also presented. Keywords: defect, transverse crack, CWT, ANN
Authors and Affiliations
Vitalij Nichoga, Liubomyr Vashchyshyn
Keywords
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- EP ID EP258931
- DOI 10.5604/01.3001.0010.8332
- Views 63
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