Table of Contents
List of Tables
- Chapter 02
- Chapter 04
- Chapter 05
- Chapter 06
- Chapter 07
- Chapter 08
- Chapter 11
- Chapter 12
- Appendix A
List of Illustrations
- Chapter 01
- Chapter 02
- Chapter 03
- Chapter 04
- Chapter 05
- Chapter 06
- Chapter 07
- Chapter 08
- Chapter 09
- Chapter 10
- Chapter 11
- Chapter 12
- Appendix A
Guide
Pages
WAVELET ANALYSIS AND TRANSIENT SIGNAL PROCESSING APPLICATIONS FOR POWER SYSTEMS
Zhengyou He
Southwest Jiaotong University, China
This edition first published 2016
2016 China Electric Power Press. All rights reserved.
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Library of Congress Cataloging-in-Publication Data
Names: He, Zhengyou, author.
Title: Wavelet analysis and transient signal processing applications for power systems / Zhengyou He.
Description: Singapore; Hoboken, NJ: John Wiley & Sons, 2016. | Includes bibliographical references and index.
Identifiers: LCCN 2016003740 | ISBN 9781118977002 (cloth) | ISBN 9781118977033 (epub)
Subjects: LCSH: Wavelets (Mathematics) | Signal processing.
Classification: LCC QA403.3 .H4 2016 | DDC 621.3101/515723dc23
LC record available at http://lccn.loc.gov/2016003740
Cover Image: saicle/Getty
Preface
The fault-generated voltage and current contain abundant fault information, such as time of fault occurrence, fault location, fault direction, and so on. This information varies according to different fault conditions. It is important to analyze the fault transient signal and extract the fault features for fast protection, fault type identification, and fault location.
As a new branch of mathematics, wavelet analysis has made many achievements in seismic exploration, atmospheric and ocean wave analysis, speech synthesis, image processing, computer vision, and data compression, among others. With the fast development of computers and the application of large-scale scientific computing, wavelet analysis has been applied to power systems, especially in transient signal analysis.
This book provides the research results from recent years and the authors many years of teaching experience in wavelet theory for engineering applications. A primary study of wavelet analysis theory applied to analyzing transient signals in power systems was carried out. This book is organized into 12 chapters: introduces the definitions and physical significances of six wavelet entropies on the basis of traditional wavelet entropy. Meanwhile, the applications of six wavelet entropies in detection and identification of power systems transient signals have been presented.
The book is written by Prof. Zhengyou He, with the guidance of the authors doctoral supervisor, Qingquan Qian. Dr Jing Zhao, Dr Xiaopeng Li, Master Haishen Zhang, Master Wen He, and Master Shu Zhang also contributed to the compilation and arrangement of this book. Some research of doctoral candidates and masters degree candidates instructed or aided by the author (e.g., Dr Zhigang Liu, Dr Linyong Wu, Dr Ling Fu, Dr Ruikun Mai, Dr Sheng Lin, Dr Jianwei Yang, and PhD candidate Yong Jia) are included in this book. The author hereby thanks the teachers and students above for their contribution.
The book is supported by the National Natural Science Foundation of China (No. 50407009, Wavelet Entropy Theory and Its Application in Power System Fault Detection and Classification; and No. 50877068, Research on Multi-source Power System Fault Diagnosis Method and System Based on Information Theory), New Century Excellent Talents in University of Ministry of Education of China (No. NCET-06-0799, Theory and Application of Power System Fault Diagnosis System Based on Information Theory), Sichuan Province Youth Fund Projects (No. 06ZQ026-012, Generalization of Information Entropy and Its Application on Power Grid Fault Diagnosis), and Research Fund for the Doctoral Program of Higher Education of China (No. 200806130004, A Novel Method for Transmission Line Fault Location Based on Single Ended Traveling Wave Natural Frequency). This work is also supported by the Electrical Engineering School of Southwest Jiaotong University and colleagues of the National Rail Transit Electrification and Automation Engineering Technique Research Center. The author greatly acknowledges their help.
Sincere thanks also go to the researchers and experts whose research is referred to or cited in this book.
Introduction
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