| 書目名稱 | Performance Optimization of Fault Diagnosis Methods for Power Systems |
| 編輯 | Dinghui Wu,Juan Zhang,Dandan Tang |
| 視頻video | http://file.papertrans.cn/744/743816/743816.mp4 |
| 概述 | Introduces credible and efficient modeling technologies for wind turbines and power data.Studies both the model based algorithms and data driven algorithms.Provides valuable guidance for holistic powe |
| 叢書名稱 | Engineering Applications of Computational Methods |
| 圖書封面 |  |
| 描述 | .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.. |
| 出版日期 | Book 2023 |
| 關(guān)鍵詞 | Fault diagnosis; Power system; Wind turbine; Linear Parameter Varying Control; Random matrix theory; Syst |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-981-19-4578-6 |
| isbn_softcover | 978-981-19-4580-9 |
| isbn_ebook | 978-981-19-4578-6Series ISSN 2662-3366 Series E-ISSN 2662-3374 |
| issn_series | 2662-3366 |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor |
|Archiver|手機(jī)版|小黑屋|
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