Measurements of rail surface defects by using eddy current sensor
This material is part of the study of the rail fault detection system through sensing using an eddy current probe. In it, the sensor is installed directly on rail vehicles. In it, the wavelet transform technique is used to classify the signals obtained from defects. This work is limited to detecting defects for preventive maintenance.
Steps to reproduce
Signal samples CSV files ( 1000 points/signal) - Weld, Squat, and Joint Each sign corresponds to a row of CSV files. The last column refers to a category indicator number. The signals were acquired in rails and later filtered to be highlighted and stored according to the category. After this step, the wavelet transform of each sign was performed to feed the CNN network input and elaborate the proposed classification model.