عنوان
پدید آورنده
موضوع
رده
TK3401
TK3401
کتابخانه
محل استقرار
INTERNATIONAL STANDARD BOOK NUMBER
(Number (ISBN
9789811051623
(Number (ISBN
9789811051630
(Number (ISBN
9789811051647
(Number (ISBN
9811051623
(Number (ISBN
9811051631
(Number (ISBN
981105164X
Erroneous ISBN
9789811051623
TITLE AND STATEMENT OF RESPONSIBILITY
Title Proper
Air Insulation Prediction Theory and Applications /
General Material Designation
[Book]
First Statement of Responsibility
Zhibin Qiu, Jiangjun Ruan and Shengwen Shu.
.PUBLICATION, DISTRIBUTION, ETC
Place of Publication, Distribution, etc.
Singapore :
Name of Publisher, Distributor, etc.
Springer,
Date of Publication, Distribution, etc.
[2019]
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
1 online resource
SERIES
Series Title
Power systems
INTERNAL BIBLIOGRAPHIES/INDEXES NOTE
Text of Note
Includes bibliographical references.
CONTENTS NOTE
Text of Note
Intro; Preface; Contents; About the Authors; 1 Background of Air Insulation Prediction Research; 1.1 Air Discharge Research and Development; 1.1.1 Air Discharge Tests; 1.1.2 Classical Discharge Theories; 1.1.3 Physical Models of Air Discharge; 1.1.4 Inspirations from Existing Research; 1.2 Research Assumption of Air Insulation Prediction; 1.2.1 Research Ideas; 1.2.2 Implementation Method; 1.2.3 Key Technologies; 1.3 Contents of This Book; References; 2 Theoretical Foundation of Air Insulation Prediction; 2.1 Influence Factors of Air Discharge; 2.1.1 Gap Structure
Text of Note
2.1.2 Applied Voltage Waveform2.1.3 Atmospheric Environment; 2.2 Energy Storage Features of Air Gap; 2.2.1 Electric Field Features; 2.2.2 Impulse Voltage Waveform Features; 2.2.3 Energy Storage Features; 2.3 Space Mapping Idea and Its Application; 2.3.1 Basic Idea of Space Mapping; 2.3.2 Application of Space Mapping in Insulation Prediction; 2.4 Brief Summary; References; 3 Air Gap Discharge Voltage Prediction Model; 3.1 Algorithm Selection of Prediction Model; 3.1.1 Applications of Artificial Intelligence Algorithms; 3.1.2 Basis for Algorithm Selection; 3.2 Fundamental Theory of SVM
Text of Note
3.2.1 Statistical Learning Theory3.2.2 Support Vector Classifier; 3.3 Parameter Optimization Methods; 3.3.1 Cross Validation; 3.3.2 Grid Search Algorithm; 3.3.3 Genetic Algorithm; 3.3.4 Particle Swarm Optimization Algorithm; 3.4 Feature Dimension Reduction Methods; 3.4.1 Normalization Processing; 3.4.2 Correlation Analysis Method; 3.4.3 Principal Component Analysis Method; 3.5 Sample Selection Method; 3.6 Error Analysis Method; 3.7 Implementation Process of the Prediction Model; 3.8 Brief Summary; References; 4 Corona Onset Voltage Prediction of Electrode Structures; 4.1 Corona Discharge
Text of Note
4.1.1 Basic Characteristics of Corona Discharge4.1.2 Corona Onset Voltage and Inception Field Strength; 4.2 Corona Onset Voltage Prediction of Rod-Plane Electrodes; 4.2.1 Training and Test Sample Set; 4.2.2 SVM Prediction Results and Analysis; 4.2.3 Comparison with Other Prediction Methods; 4.3 Corona Onset Voltage Prediction of Stranded Conductors; 4.3.1 Electric Field Analysis of the Stranded Conductor; 4.3.2 Corona Onset Voltage Prediction of Single Stranded Conductors; 4.3.3 Comparison with Other Prediction Methods; 4.4 DC Corona Onset Voltage Prediction of Valve Hall Fittings
Text of Note
4.4.1 Corona Tests4.4.2 Corona Onset Voltage Prediction; 4.4.3 Result Analysis and Discussions; 4.5 Brief Summary; References; 5 Power Frequency Breakdown Voltage Prediction of Air Gaps; 5.1 Air Gap Breakdown Characteristics Under Steady-State Voltage; 5.1.1 Breakdown in Uniform Electric Field; 5.1.2 Breakdown in Slightly Uneven Electric Field; 5.1.3 Breakdown in Extremely Nonuniform Electric Field; 5.2 Breakdown Voltage Prediction of Typical Short Air Gaps; 5.2.1 Power Frequency Breakdown Voltages of Typical Air Gaps; 5.2.2 Analysis of the Electric Field Distributions
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SUMMARY OR ABSTRACT
Text of Note
This book proposes the air insulation prediction theory and method in the subject of electrical engineering. Prediction of discharge voltage in different cases are discussed and worked out by simulation. After decades, now bottlenecks of traditional air discharge theories can be solved with this book. Engineering applications of the theory in air gap discharge voltage prediction are introduced. This book serves as reference for graduate students, scientific research personnel and engineering staff in the related fields.
ACQUISITION INFORMATION NOTE
Source for Acquisition/Subscription Address
Springer Nature
Stock Number
com.springer.onix.9789811051630
OTHER EDITION IN ANOTHER MEDIUM
International Standard Book Number
9789811051623
International Standard Book Number
9789811051647
TOPICAL NAME USED AS SUBJECT
Electric discharges.
Electric insulators and insulation.
Electric discharges.
Electric insulators and insulation.
TECHNOLOGY & ENGINEERING-- Mechanical.
(SUBJECT CATEGORY (Provisional
TEC-- 009070
THR
THRD
DEWEY DECIMAL CLASSIFICATION
Number
621
.
319/37
Edition
23
LIBRARY OF CONGRESS CLASSIFICATION
Class number
TK3401
PERSONAL NAME - PRIMARY RESPONSIBILITY
Qiu, Zhibin
PERSONAL NAME - ALTERNATIVE RESPONSIBILITY
Ruan, Jiangjun
Shu, Shengwen
ORIGINATING SOURCE
Date of Transaction
20200823221521.0
Cataloguing Rules (Descriptive Conventions))
pn
ELECTRONIC LOCATION AND ACCESS
Electronic name
مطالعه متن کتاب [Book]
Y
