Application of discrete wavelet transform to fault detection

Authors:
Seda Postalcioğlu;Kadir Erkan;Emine Doğru Bolat
Affiliations:
Department of Electronics and Computer Education, University of Kocaeli, Türkiye;Department of Electronics and Computer Education, University of Kocaeli, Türkiye;Department of Electronics and Computer Education, University of Kocaeli, Türkiye
Venue:
ICS'06 Proceedings of the 10th WSEAS international conference on Systems
Year:
2006

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Abstract

The aim of this paper is to explain the application of discrete Wavelet transform (DWT) to fault detection. Edges which can be occurring by faults in signal can be mathematically defined as local singularities. The Wavelet transform characterizes the local regularity of signals by decomposing signals. In this study, ISTE disturbance PID (Proportional Integral Derivative) has been used. This method has been applied to the experiment set. Two faults were given to the experiment set while working. Faults have been found using Wavelet transform. Only the detail coefficients that contain the high frequency information are used to find the edges which are faults. After decomposition stage, wavelet denoising method has been applied because of the environmental noise. So the signal has been reconstructed. Groups of large magnitude detail coefficients shows the edges which occur by faults.