Description: Data-driven Design of Fault Diagnosis and Fault-tolerant Control Systems Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). Author(s): Steven X. Ding Format: Paperback Publisher: Springer London Ltd, United Kingdom Imprint: Springer London Ltd ISBN-13: 9781447172635, 978-1447172635 Synopsis 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, engineering students and researchers with a control engineering background.
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Location: Aldershot
End Time: 2024-12-26T09:11:19.000Z
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Book Title: Data-driven Design of Fault Diagnosis and Fault-tolerant Contr...
Subject Area: Mechanical Engineering
Item Height: 235 mm
Item Width: 155 mm
Series: Advances in Industrial Control
Author: Steven X. Ding
Publication Name: Data-Driven Design of Fault Diagnosis and Fault-Tolerant Control Systems
Format: Paperback
Language: English
Publisher: Springer London LTD
Publication Year: 2016
Type: Textbook
Item Weight: 4861 g
Number of Pages: 300 Pages