Data-driven Design of Fault Diagnosis and Fault-tolerant Control Systems (Record no. 57607)

000 -LEADER
fixed length control field 03482nam a22004815i 4500
001 - CONTROL NUMBER
control field 978-1-4471-6410-4
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20200421112225.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 140412s2014 xxk| s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781447164104
-- 978-1-4471-6410-4
082 04 - CLASSIFICATION NUMBER
Call Number 620.0042
100 1# - AUTHOR NAME
Author Ding, Steven X.
245 10 - TITLE STATEMENT
Title Data-driven Design of Fault Diagnosis and Fault-tolerant Control Systems
300 ## - PHYSICAL DESCRIPTION
Number of Pages XX, 300 p. 106 illus., 101 illus. in color.
490 1# - SERIES STATEMENT
Series statement Advances in Industrial Control,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 From the Contents: Introduction -- Objectives, tasks and basic concepts -- An introduction to the representative technical processes -- Data-driven realization of the basic GLR scheme -- Principal component analysis, its variations and applications -- Partial least squares, its variations and applications.
520 ## - SUMMARY, ETC.
Summary, etc 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. Advances in Industrial Control aims to report and encourage the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-1-4471-6410-4
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- London :
-- Springer London :
-- Imprint: Springer,
-- 2014.
336 ## -
-- text
-- txt
-- rdacontent
337 ## -
-- computer
-- c
-- rdamedia
338 ## -
-- online resource
-- cr
-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Engineering.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Engineering design.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Control engineering.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Engineering.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Engineering Design.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Control.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 1430-9491
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-- ZDB-2-ENG

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