000 03482nam a22004815i 4500
001 978-1-4471-6410-4
003 DE-He213
005 20200421112225.0
007 cr nn 008mamaa
008 140412s2014 xxk| s |||| 0|eng d
020 _a9781447164104
_9978-1-4471-6410-4
024 7 _a10.1007/978-1-4471-6410-4
_2doi
050 4 _aTA174
072 7 _aTBD
_2bicssc
072 7 _aTEC016020
_2bisacsh
072 7 _aTEC016000
_2bisacsh
082 0 4 _a620.0042
_223
100 1 _aDing, Steven X.
_eauthor.
245 1 0 _aData-driven Design of Fault Diagnosis and Fault-tolerant Control Systems
_h[electronic resource] /
_cby Steven X. Ding.
264 1 _aLondon :
_bSpringer London :
_bImprint: Springer,
_c2014.
300 _aXX, 300 p. 106 illus., 101 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aAdvances in Industrial Control,
_x1430-9491
505 0 _aFrom 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 _aData-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.
650 0 _aEngineering.
650 0 _aEngineering design.
650 0 _aControl engineering.
650 1 4 _aEngineering.
650 2 4 _aEngineering Design.
650 2 4 _aControl.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781447164098
830 0 _aAdvances in Industrial Control,
_x1430-9491
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-4471-6410-4
912 _aZDB-2-ENG
942 _cEBK
999 _c57607
_d57607