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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.
| Autorius: | Dinghui Wu, Dandan Tang, Junyan Fan, Juan Zhang, |
| Serija: | Engineering Applications of Computational Methods |
| Leidėjas: | Springer Nature Singapore |
| Išleidimo metai: | 2023 |
| Knygos puslapių skaičius: | 144 |
| ISBN-10: | 9811945802 |
| ISBN-13: | 9789811945809 |
| Formatas: | 235 x 155 x 9 mm. Knyga minkštu viršeliu |
| Kalba: | Anglų |
Parašykite atsiliepimą apie „Performance Optimization of Fault Diagnosis Methods for Power Systems“
