Application of Signal Processing Tools and Artificial Neural Network in Diagnosis of Power System Faults

Accurate, fast, and reliable fault classification techniques are an important operational requirement in modern-day power transmission systems. This book gives an elaboration of the power system faults and the conventional techniques of fault analysis. the authors provide knowledge of artificial neural networks and their applications with illustrations for identifying power system faults. Wavelet transform and its applications are then discussed as well as an elaborate method of Stockwell transform. Addiitonally the authors employ PNN and BPNN to identify the different types of faults and obtain their corresponding locations respectively. Both PNN and BPNN have been discussed in detail and their applications have been illustrated by simple programmings in MATLAB. Furthermore, their applications in fault diagnosis have been discussed separately with different case studies. The book will provide necessary information and knowledge to an Engineering student and practioners to carry out research activity. Readers will learn the method of programming and simulation of any network in MATLAB. They will learn how to extract features from a signal waveform by using a suitable signal processing toolbox. They will also learn the application of Artificial Neural Network.