Wavelet-neural network for detection signals from transverse cracks in the rail head

In this paper, the implementation of artificial neural network (ANN) for detection signals from transverse cracks in the rails is presented. As input parameters, this network uses the coefficients of continuous wavelet transform (CWT), which are obtained from the analysis of signals recorded during the magnetodynamic flaw detection of rails.