| 书目名称 | Model-based Health Monitoring of Hybrid Systems | | 编辑 | Danwei Wang,Ming Yu,Shai Arogeti | | 视频video | | | 概述 | Offers in-depth comprehensive study on health monitoring for hybrid systems.Includes new concepts, such as GARR, mode tracking and multiple failure prognosis.Contains many examples, making the develop | | 图书封面 |  | | 描述 | .This book systematically presents a comprehensive framework and effective techniques for in-depth analysis, clear design procedure, and efficient implementation of diagnosis and prognosis algorithms for hybrid systems. It offers an overview of the fundamentals of diagnosisprognosis and hybrid bond graph modeling. This book also describes hybrid bond graph-based quantitative fault detection, isolation and estimation. Moreover, it also presents strategies to track the system mode and predict the remaining useful life under multiple fault condition. A real world complex hybrid system—a vehicle steering control system—is studied using the developed fault diagnosis methods to show practical significance. .Readers of this book will benefit from easy-to-understand fundamentals of bond graph models, concepts of health monitoring, fault diagnosis and failure prognosis, as well as hybrid systems. The reader will gain knowledge of fault detection and isolation in complex systems including those with hybrid nature, and will learn state-of-the-art developments in theory and technologies of fault diagnosis and failure prognosis for complex systems. | | 出版日期 | Book 2013 | | 关键词 | Bond Graph; Failure Prognosis; Fault Detection and Isolation; Fault Diagnosis; Global Analytical Redunda | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4614-7369-5 | | isbn_softcover | 978-1-4899-9059-4 | | isbn_ebook | 978-1-4614-7369-5 | | copyright | Springer Science+Business Media New York 2013 |
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发表于 2025-3-21 16:14:01
