In this paper, an effective fault location technique is proposed. Using the current samples of the distribution feeder measured at the substation, the proposed technique first determines the type of fault. Furthermore, an artificial neural network (ANN) is trained for each type of fault. The ANNs are trained to estimate the fault distance to the substation (FDANN).The Inputs of the ANNs are dat...

When a fault occurs during an industrial inspection, workmen have to manually find the location and type of the fault in order to remove it. It is often difficult to accurately find the location and type of fault. Hence, development of an offline intelligent fault diagnosis system for process control industry is of great importance since successful detection of fault is a precursor to fault iso...

The location of Transmission Line (TL) Faults is a major problem in Electrical Power Systems (EPSs), since precisely identifying the point occurrence fault TL it possible to perform faster restoration operation desired normal conditions. In this work we used Least-Squares Support Vector Regression (LS-SVR) locate faults with inputs provided by MFCC (Mel-Frequency Cepstral Coefficients) obtained...