Name: Application of Signal Processing Tools and Artificial Neural Network in Diagnosis of Power System Faults (en Inglés)
Price: 199130.00 COP
Availability: InStock
Author: Nabamita Banerjee Roy Kesab Bhattacharya
ISBN: 9781032043630

portada Application of Signal Processing Tools and Artificial Neural Network in Diagnosis of Power System Faults (en Inglés)

Formato

Libro Físico

Editorial

Crc Press

Autor

Nabamita Banerjee Roy Kesab Bhattacharya

Idioma

Inglés

N° páginas

144

Encuadernación

Tapa Blanda

ISBN13

9781032043630

N° edición

Application of Signal Processing Tools and Artificial Neural Network in Diagnosis of Power System Faults (en Inglés)

Nabamita Banerjee Roy Kesab Bhattacharya (Autor) · Crc Press · Tapa Blanda

Libro Nuevo

$ 199.130

$ 306.353

Ahorras: $ 107.224

35% descuento

Envío normal

Origen: Estados Unidos (Costos de importación incluídos en el precio)

Se enviará desde nuestra bodega entre el Viernes 14 de Junio y el Martes 02 de Julio.

Lo recibirás en cualquier lugar de Colombia entre 1 y 5 días hábiles luego del envío.

Reseña del libro "Application of Signal Processing Tools and Artificial Neural Network in Diagnosis of Power System Faults (en Inglés)"

Accurate, fast, and reliable fault classification techniques are an important operational requirement in modern-day power transmission systems. Application of Signal Processing Tools and Neural Network in Diagnosis of Power System Faults examines power system faults and conventional techniques of fault analysis. The authors provide insight into artificial neural networks and their applications, with illustrations, for identifying power system faults. Wavelet transform and its application are discussed as well as an elaborate method of Stockwell transform.The authors also employ probabilistic neural networks (PNN) and back propagation neural networks (BPNN) to identify the different types of faults and determine their corresponding locations, respectively. Both PNN and BPNN are presented in detail, and their applications are illustrated through simple programming in MATLAB(R). Furthermore, their applications in fault diagnosis are discussed through multiple case studies.FEATURES Explores methods of fault identification through programming and simulation in MATLAB(R) Examines signal processing tools and their applications with examples Provides knowledge of artificial neural networks and their application with illustrations Uses PNN and BPNN to identify the different types of faults and obtain their corresponding locations Discusses the programming of signal processing using wavelet transform and Stockwell transform This book is designed for engineering students and for practitioners. Readers will find methods of programming and simulation of any network in MATLAB(R) as well as ways to extract features from a signal waveform by using a suitable signal processing toolbox and by application of artificial neural networks.