Data-driven Design of Fault Diagnosis and Fault-tolerant Control Systems (Hardcover, 2014 ed.)

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.

General

Imprint:	Springer London
Country of origin:	United Kingdom
Series:	Advances in Industrial Control
Release date:	April 2014
First published:	2014
Authors:	Steven X. Ding
Dimensions:	235 x 155 x 22mm (L x W x T)
Format:	Hardcover
Pages:	300
Edition:	2014 ed.
ISBN-13:	978-1-4471-6409-8
Categories:	Books > Professional & Technical > Technology: general issues > Technical design > General Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > General Promotions
LSN:	1-4471-6409-1
Barcode:	9781447164098

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