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

Author : Nabamita Banerjee Roy
Publisher : CRC Press
Page : 144 pages
File Size : 17,86 MB
Release : 2021-07-21
Category : Technology & Engineering
ISBN : 1000414906

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Explores methods of fault identification through programming and simulation in MATLAB Examines signal processing tools and their applications with examples Provides knowledge of artificial neural networks and their applications 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 S-Transform

Wavelet Analysis and Transient Signal Processing Applications for Power Systems

Author : Zhengyou He
Publisher : John Wiley & Sons
Page : 264 pages
File Size : 12,39 MB
Release : 2016-09-26
Category : Science
ISBN : 1118977009

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An original reference applying wavelet analysis to power systems engineering • Introduces a modern signal processing method called wavelet analysis, and more importantly, its applications to power system fault detection and protection • Concentrates on its application to the power system, offering great potential for fault detection and protection • Presents applications, examples, and case studies, together with the latest research findings • Provides a combination of the author’s tutorial notes from electrical engineering courses together with his own original research work, of interest to both industry and academia

Advances in Wavelet Theory and Their Applications in Engineering, Physics and Technology

Author : Dumitru Baleanu
Publisher : BoD – Books on Demand
Page : 650 pages
File Size : 24,39 MB
Release : 2012-04-04
Category : Computers
ISBN : 9535104942

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The use of the wavelet transform to analyze the behaviour of the complex systems from various fields started to be widely recognized and applied successfully during the last few decades. In this book some advances in wavelet theory and their applications in engineering, physics and technology are presented. The applications were carefully selected and grouped in five main sections - Signal Processing, Electrical Systems, Fault Diagnosis and Monitoring, Image Processing and Applications in Engineering. One of the key features of this book is that the wavelet concepts have been described from a point of view that is familiar to researchers from various branches of science and engineering. The content of the book is accessible to a large number of readers.

Advances in Wavelet Theory and Their Applications in Engineering, Physics and Technology

Author : Dumitru Baleanu
Publisher : IntechOpen
Page : 648 pages
File Size : 26,10 MB
Release : 2012-04-04
Category : Computers
ISBN : 9789535104940

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The use of the wavelet transform to analyze the behaviour of the complex systems from various fields started to be widely recognized and applied successfully during the last few decades. In this book some advances in wavelet theory and their applications in engineering, physics and technology are presented. The applications were carefully selected and grouped in five main sections - Signal Processing, Electrical Systems, Fault Diagnosis and Monitoring, Image Processing and Applications in Engineering. One of the key features of this book is that the wavelet concepts have been described from a point of view that is familiar to researchers from various branches of science and engineering. The content of the book is accessible to a large number of readers.

Advances in Wavelet Theory and Their Applications in Engineering, Physics and Technology

Author : Dumitru Baleanu
Publisher : IntechOpen
Page : 0 pages
File Size : 27,76 MB
Release : 2012-04-04
Category : Computers
ISBN : 9789535104940

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The use of the wavelet transform to analyze the behaviour of the complex systems from various fields started to be widely recognized and applied successfully during the last few decades. In this book some advances in wavelet theory and their applications in engineering, physics and technology are presented. The applications were carefully selected and grouped in five main sections - Signal Processing, Electrical Systems, Fault Diagnosis and Monitoring, Image Processing and Applications in Engineering. One of the key features of this book is that the wavelet concepts have been described from a point of view that is familiar to researchers from various branches of science and engineering. The content of the book is accessible to a large number of readers.

Modern Applications of Wavelet Transform

Author : Srinivasan Ramakrishnan
Publisher : BoD – Books on Demand
Page : 98 pages
File Size : 19,15 MB
Release : 2024-02-07
Category : Mathematics
ISBN : 0854662367

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This book explores the use of wavelet transforms in signal processing, including image, finance, and communication systems. It covers five contemporary applications, including the interaction between inertial sensors and wavelet filtering techniques, geophysical prospecting, volatility patterns in asset returns, computerized tomography (CT), and fault detection techniques. The book provides a foundation for further exploration, focusing on wavelet transformations' basic principles, their application in geophysical prospecting, and their use in identifying volatility patterns in asset returns. The book is intended for students, researchers, and professionals interested in understanding wavelet transforms and their practical implementations.

Application of Wavelet Theory to Power Distribution Systems for Fault Detection

Author :
Publisher :
Page : 7 pages
File Size : 25,87 MB
Release : 1996
Category :
ISBN :

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In this paper an investigation of the wavelet transform as a means of creating a feature extractor for Artificial Neural Network (ANN) training is presented. The study includes a teresstrial-based 3 phase delta power distribution system. Faults were injected into the system and data was obtained from experimentation. Graphical representations of the feature extractors obtained in the time domain, the frequency domain and the wavelet domain are presented to ascertain the superiority of the wavelet ''reform feature extractor.

Power System Fault Diagnosis

Author : Md Shafiullah
Publisher : Elsevier
Page : 430 pages
File Size : 49,40 MB
Release : 2022-01-14
Category : Technology & Engineering
ISBN : 032388430X

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Power System Fault Diagnosis: A Wide Area Measurement Based Intelligent Approach is a comprehensive overview of the growing interests in efficient diagnosis of power system faults to reduce outage duration and revenue losses by expediting the restoration process.This book illustrates intelligent fault diagnosis schemes for power system networks, at both transmission and distribution levels, using data acquired from phasor measurement units. It presents the power grid modeling, fault modeling, feature extraction processes, and various fault diagnosis techniques, including artificial intelligence techniques, in steps. The book also incorporates uncertainty associated with line parameters, fault information (resistance and inception angle), load demand, renewable energy generation, and measurement noises. Provides step-by-step modeling of power system networks (distribution and transmission) and faults in MATLAB/SIMULINK and real-time digital simulator (RTDS) platforms Presents feature extraction processes using advanced signal processing techniques (discrete wavelet and Stockwell transforms) and an easy-to-understand optimal feature selection method Illustrates comprehensive results in the graphical and tabular formats that can be easily reproduced by beginners Highlights various utility practices for fault location in transmission networks, distribution systems, and underground cables.

Wavelet Transform and Some of Its Real-World Applications

Author : Dumitru Baleanu
Publisher : BoD – Books on Demand
Page : 136 pages
File Size : 30,27 MB
Release : 2015-12-09
Category : Computers
ISBN : 9535122304

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The book contains six chapters. The use of the progressive regressive strategy for biometrical authentication through the use of human gait and face images was investigated. A new lossy image compression technique that uses singular value decomposition and wavelet difference reduction technique was proposed. The best wavelet packet based selection algorithm and its application in image denoising was discussed. The scaling factor threshold estimator in different color models using a discrete wavelet transform for steganographic algorithms was presented. The extraction of features appearing in current signal using wavelet analysis when there is rotor fault of eccentricity and broken rotor bar was debated. The application of the empirical wavelet transform for seismic anomalies detection in ultralow-frequency geomagnetic signals was illustrated.