Electromagnetic rail-flaw detection signal analysis based on the artificial neural networks
Vitalij Nichoga, Roman Yakymiv, Yuriy M. Romanyshyn · International Conference on Experience of Designing and Applications of CAD Systems in Microelectronics · 2011
In this paper the application of the artificial neural network for the identification of signals of rail fault 21 are given. At the beginning of the diagnostics process preliminary processing of fault detection signals is worked out and fragments of signals, which can correspond to defects, are picked out for their further research.