Performance Optimization of Fault Diagnosis Methods for Power Systems

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Éditeur :

Springer


Collection :

Engineering Applications of Computational Methods

Paru le : 2022-09-18

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Description

This book focuses on the performance optimization of fault diagnosis methods for power systems including both model-driven ones, such as the linear parameter varying algorithm, and data-driven ones, such as random matrix theory. Studies on fault diagnosis of power systems have long been the focus of electrical engineers and scientists. Pursuing a holistic approach to improve the accuracy and efficiency of existing methods, the underlying concepts toward several algorithms are introduced and then further applied in various situations for fault diagnosis of power systems in this book. The primary audience for the book would be the scholars and graduate students whose research topics including the control theory, applied mathematics, fault detection, and so on.
Pages
127 pages
Collection
Engineering Applications of Computational Methods
Parution
2022-09-18
Marque
Springer
EAN papier
9789811945779
EAN PDF
9789811945786

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
12
Taille du fichier
6625 Ko
Prix
94,94 €
EAN EPUB
9789811945786

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
12
Taille du fichier
23747 Ko
Prix
94,94 €