Transmission Line Fault Detection Using Wavelet Transform & ANN Approach

The protection system for the technique of relay has been developed in the past. The protection for the distance in the transmission line with the help of artificial neural network has been developed in the past years. It has been observed that the differentiation in the faulty zone to be considered for the detachment of the faulty line while the estimation in the case of the type of the fault is also important. The determination of the fault zone can be possible with the help of the frequencies in case of double bands. The mother wavelet Haar is extremely helpful for the selection of the faulty phase. In the present work the artificial neural network and the wavelet transform is used for the detection purposes of the fault in the transmission line. ANN was used for the classification of the faults in the transmission line and then the fault zone identification process is also carried out using ANN.