Dinghui Wu,Juan Zhang,Junyan Fan,Dandan Tang
Performance Optimization of Fault Diagnosis Methods for Power Systems
Performance Optimization of Fault Diagnosis Methods for Power Systems
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- More about Performance Optimization of Fault Diagnosis Methods for Power Systems
This book focuses on the performance optimization of fault diagnosis methods for power systems, including model-driven and data-driven approaches, and introduces underlying concepts and applies them in various situations. It is intended for scholars and graduate students interested in control theory, applied mathematics, fault detection, and related areas.
Format: Hardback
Length: 127 pages
Publication date: 19 September 2022
Publisher: Springer Verlag, Singapore
This comprehensive book delves into the realm of performance optimization in fault diagnosis methods for power systems, encompassing both model-driven approaches like the linear parameter varying algorithm and data-driven techniques like random matrix theory. A longstanding focus of electrical engineers and scientists, studies on fault diagnosis of power systems have been instrumental in advancing the field. By adopting a holistic approach, this book aims to enhance the accuracy and efficiency of existing methods, introducing fundamental concepts and applying them across diverse scenarios for fault diagnosis in power systems. The primary target audience for this text includes scholars and graduate students engaged in research areas such as control theory, applied mathematics, fault detection, and related disciplines.
This book explores the optimization of fault diagnosis methods for power systems, encompassing both model-driven approaches like the linear parameter varying algorithm and data-driven techniques like random matrix theory. A longstanding focus of electrical engineers and scientists, studies on fault diagnosis of power systems have been instrumental in advancing the field. By adopting a holistic approach, this book aims to enhance the accuracy and efficiency of existing methods, introducing fundamental concepts and applying them across diverse scenarios for fault diagnosis in power systems. The primary target audience for this text includes scholars and graduate students engaged in research areas such as control theory, applied mathematics, fault detection, and related disciplines.
Weight: 389g
Dimension: 235 x 155 (mm)
ISBN-13: 9789811945779
Edition number: 1st ed. 2023
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