| 书目名称 | Model-Based Fault Diagnosis | | 副标题 | Methods for State-Sp | | 编辑 | Zhenhua Wang,Yi Shen | | 视频video | | | 概述 | Gives a comprehensive and detailed introduction of the model-based fault diagnosis methods.Studies the principles and implementations of model-based fault diagnosis methods in the state-space approach | | 丛书名称 | Studies in Systems, Decision and Control | | 图书封面 |  | | 描述 | This book investigates in detail model-based fault diagnosis methods, including observer-based residual generation, residual evaluation based on threshold computation, observer-based fault isolation strategies, observer-based fault estimation, Kalman filter-based fault diagnosis methods, and parity space approach. Studies on model-based fault diagnosis have attracted engineers and scientists from various disciplines, such as electrical, aerospace, mechanical, and chemical engineering. Pursuing a holistic approach, the book establishes a fundamental framework for this topic, while emphasizing the importance of state-space approach. The methods introduced in the book are systemic and easy to follow. The book is intended for undergraduate and graduate students who are interested in fault diagnosis and state estimation, researchers investigating fault diagnosis and fault-tolerant control, and control system design engineers working on safety-critical systems. | | 出版日期 | Book 2023 | | 关键词 | Fault diagnosis; Control system; State-space model; State estimation; Dynamical System | | 版次 | 1 | | doi | https://doi.org/10.1007/978-981-19-6706-1 | | isbn_softcover | 978-981-19-6708-5 | | isbn_ebook | 978-981-19-6706-1Series ISSN 2198-4182 Series E-ISSN 2198-4190 | | issn_series | 2198-4182 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor |
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发表于 2025-3-21 16:50:39
