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: Paperback / softback
Length: 123 pages
Publication date: 25 September 2023
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 fault analysis techniques. The authors offer insightful perspectives on artificial neural networks and their applications, providing illustrative examples for identifying power system faults. The discussion encompasses wavelet transform and its practical applications, as well as an in-depth exploration of the Stockwell transform method.

Furthermore, the authors employ probabilistic neural networks (PNN) and back propagation neural networks (BPNN) to classify different types of faults and pinpoint their corresponding locations. Both PNN and BPNN are presented in detail, with practical examples showcased through simple programming in MATLAB®. The book also discusses the applications of these networks in fault diagnosis through a series of case studies.

FEATURES:

Explores methods of fault identification through programming and simulation in MATLAB®.

Examines signal processing tools and their applications with illustrative examples.

Provides comprehensive knowledge of artificial neural networks and their practical applications, accompanied by illustrative illustrations.

Uses PNN and BPNN to identify diverse types of faults and determine their corresponding locations.

Discusses the programming of signal processing techniques using wavelet transform and Stockwell transform.

This book is designed to cater to engineering students and practitioners alike. It offers valuable insights into programming and simulation techniques, as well as methods for extracting features from signal waveforms using signal processing toolboxes and artificial neural networks. By leveraging the knowledge presented in this book, readers can enhance their understanding of power system faults and develop effective fault classification strategies.

Weight: 453g
Dimension: 234 x 156 (mm)
ISBN-13: 9781032043630