Performance Optimization of Fault Diagnosis Methods for Power Systems (Hardcover, 1st ed. 2023)

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.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Series:	Engineering Applications of Computational Methods, 9
Release date:	September 2022
First published:	2023
Authors:	Dinghui Wu • Juan Zhang • Junyan Fan • Dandan Tang
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	127
Edition:	1st ed. 2023
ISBN-13:	978-981-19-4577-9
Categories:	Books > Professional & Technical > Energy technology & engineering > Alternative & renewable energy sources & technology Books > Science & Mathematics > Mathematics > Optimization > General Books > Professional & Technical > Energy technology & engineering > Electrical engineering > General Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > General
LSN:	981-19-4577-2
Barcode:	9789811945779

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