Air Insulation Prediction Theory and Applications. ([2019])
- Record Type:
- Book
- Title:
- Air Insulation Prediction Theory and Applications. ([2019])
- Main Title:
- Air Insulation Prediction Theory and Applications
- Further Information:
- Note: Zhibin Qiu, Jiangjun Ruan and Shengwen Shu.
- Authors:
- Qiu, Zhibin
Ruan, Jiangjun
Shu, Shengwen - Contents:
- 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 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 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; 3.4.3Intro; 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 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 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 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 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 … (more)
- Publisher Details:
- Singapore : Springer
- Publication Date:
- 2019
- Extent:
- 1 online resource
- Subjects:
- 621.319/37
Electric insulators and insulation
Electric discharges
TECHNOLOGY & ENGINEERING / Mechanical
Electronic books
Electronic books - Languages:
- English
- ISBNs:
- 9789811051630
9811051631 - Related ISBNs:
- 9789811051623
- Notes:
- Note: Includes bibliographical references.
Note: Online resource; title from PDF title page (EBSCO, viewed May 22, 2019). - Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.425968
- Ingest File:
- 02_538.xml