9789811945809 - Performance Optimization of Fault Diagnosis Methods for Power Systems: 9 (engineering Applications of Computational Methods, 9) by Wu, Dinghui; Zhang, Juan; Fan, Junyan; Tang, Dandan (11 results)
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Published by Springer Nature, 2023
Series: Book 9 of 20 - Engineering Applications of Computational Methods
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Published by Springer, 2023
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Taschenbuch. Condition: Neu. Performance Optimization of Fault Diagnosis Methods for Power Systems | Dinghui Wu (u. a.) | Taschenbuch | xiii | Englisch | 2023 | Springer | EAN 9789811945809 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | A…nbieter: preigu.
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 di…agnosis 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.
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Published by Springer, 2023
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Published by Springer Nature Singapore Okt 2023, 2023
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. Stu…dies 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. 144 pp. Englisch.
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Published by Springer, Berlin|Springer Nature Singapore|National Key Research and Development Program of China|National Natural Science Foundation of China|Springer, 2023
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Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 diagnosi.
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Published by Springer, 2023
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Published by Springer, 2023
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Published by Springer, Springer Sep 2023, 2023
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 144 pp. Englisch.
