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

Accurate, fast, and reliable fault classification techniques are essential for modern power transmission systems. This book explores signal processing tools and neural networks to identify power system faults, with illustrations and programming in MATLAB®. It covers wavelet transform, Stockwell transform, probabilistic neural networks (PNN), and back propagation neural networks (BPNN), and discusses their applications in fault diagnosis through case studies. The book is designed for engineering students and practitioners.

Format: Hardback
Length: 123 pages
Publication date: 22 July 2021
Publisher: Taylor & Francis Ltd

Accurate, fast, and reliable fault classification techniques are essential operational requirements in modern-day power transmission systems. This book delves into the realm of power system faults and conventional techniques of fault analysis, providing valuable insights into the field. The authors explore various signal processing tools and their applications, with a focus on identifying power system faults. They discuss artificial neural networks and their practical applications in fault identification, offering illustrative examples to enhance understanding. The book also covers wavelet transform and its practical applications, as well as an elaborate method known as the Stockwell transform.

Furthermore, the authors employ probabilistic neural networks (PNN) and back propagation neural networks (BPNN) to classify different types of faults and determine their corresponding locations accurately. Both PNN and BPNN are presented in detail, with simple programming examples in MATLAB® to demonstrate their practical implementation. The book further discusses the applications of these networks in fault diagnosis through multiple case studies, making it an invaluable resource for engineering students and practitioners alike.

With its comprehensive coverage of fault identification methods, signal processing tools, and neural network applications, this book serves as a valuable guide for those seeking to enhance their understanding of power system faults and their diagnosis. It provides practical insights and programming techniques that can be applied in real-world scenarios, making it an essential tool for professionals in the field.

Weight: 360g
Dimension: 159 x 243 x 14 (mm)
ISBN-13: 9780367431136