000 | 03482nam a22004815i 4500 | ||
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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 |
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024 | 7 |
_a10.1007/978-1-4471-6410-4 _2doi |
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050 | 4 | _aTA174 | |
072 | 7 |
_aTBD _2bicssc |
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072 | 7 |
_aTEC016020 _2bisacsh |
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072 | 7 |
_aTEC016000 _2bisacsh |
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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. |
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300 |
_aXX, 300 p. 106 illus., 101 illus. in color. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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490 | 1 |
_aAdvances in Industrial Control, _x1430-9491 |
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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 |