| 书目名称 | Data-driven Design of Fault Diagnosis and Fault-tolerant Control Systems | | 编辑 | Steven X. Ding | | 视频video | | | 概述 | Gives the reader a framework of data-driven process monitoring and control techniques, helping them becoming familiar with the basic ideas and schemes in this area in a systematic way.Provides the rea | | 丛书名称 | Advances in Industrial Control | | 图书封面 |  | | 描述 | Data-driven Design of Fault Diagnosis and Fault-tolerant Control Systems presents basic statistical process monitoring, fault diagnosis, and control methods and introduces advanced data-driven schemes for the design of fault diagnosis and fault-tolerant control systems catering to the needs of dynamic industrial processes. With ever increasing demands for reliability, availability and safety in technical processes and assets, process monitoring and fault-tolerance have become important issues surrounding the design of automatic control systems. This text shows the reader how, thanks to the rapid development of information technology, key techniques of data-driven and statistical process monitoring and control can now become widely used in industrial practice to address these issues. To allow for self-contained study and facilitate implementation in real applications, important mathematical and control theoretical knowledge and tools are included in this book. Major schemes are presented in algorithm form and demonstrated on industrial case systems. Data-driven Design of Fault Diagnosis and Fault-tolerant Control Systems will be of interest to process and control engineers, engineer | | 出版日期 | Book 2014 | | 关键词 | Data-driven Techniques; Fault Detection and Isolation; Fault Diagnosis; Fault-tolerant Systems; Process | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4471-6410-4 | | isbn_softcover | 978-1-4471-7263-5 | | isbn_ebook | 978-1-4471-6410-4Series ISSN 1430-9491 Series E-ISSN 2193-1577 | | issn_series | 1430-9491 | | copyright | Springer-Verlag London 2014 |
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发表于 2025-3-21 17:32:56
