Title Statements
- Full title :Wavelet Analysis and Transient Signal Processing Applications for Power Systems.
Summary
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.
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- Publication Date:2016.
Publication Statements
- Publisher(s):Wiley
- Place of Publication:Hoboken
- Language:eng
- Publication Date:2016.
The Physical Object
- Description:1 online resource (354 pages)
Edition Identifiers
- ISBN:9781118977033, 1118977033
- oclc:ocn951221112
- LC Classification:QA403.3
- Dewey Decimal:621.3101515723
Table of Contents
Title Page -- Table Of Contents -- Preface -- 1 Introduction -- 1.1 From Fourier Transform To Wavelet Transform -- 1.2 Application Of Time-Frequency Analysis In Transient Signal Processing -- 1.3 Wavelet Transform Application In Transient Signal Processing Of Power Systems -- References -- 2 The Fundamental Theory Of Wavelet Transform -- 2.1 Continuous Wavelet Transform [1-4] -- 2.2 The Discretization Of Continuous Wavelet Transform [1, 5] -- 2.3 Multiresolution Analysis And The Mallat Algorithm -- 2.4 The Properties Of Basic Wavelets [5] -- 2.5 Frequently Used Properties Of The Mother Wavelet In Engineering Signal Analysis [5] -- References -- 3 Wavelet Analysis And Signal Singularity -- 3.1 Lipschitz Exponents -- 3.2 Characterization Of Signal Singularity Based On Wavelet Transform -- 3.3 The Wavelet Transform Property Of Random Noise -- Further Reading -- 4 Sampling Techniques In Wavelet Analysis Of Transient Signals -- 4.1 Wavelet Sampling In Direct Wavelet Transform -- 4.2 Pre-Sampling In Indirect Wavelet Transform -- 4.3 Selection Algorithms For Pre-Sampling Filters -- 4.4 Problems In The Implementation Of Wavelet Transform -- Reference -- Further Reading -- 5 Wavelet Basis …
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