000 | 03368nam a22005535i 4500 | ||
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001 | 978-3-658-15928-3 | ||
003 | DE-He213 | ||
005 | 20220801221816.0 | ||
007 | cr nn 008mamaa | ||
008 | 161007s2017 gw | s |||| 0|eng d | ||
020 |
_a9783658159283 _9978-3-658-15928-3 |
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024 | 7 |
_a10.1007/978-3-658-15928-3 _2doi |
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050 | 4 | _aTJ212-225 | |
050 | 4 | _aTJ210.2-211.495 | |
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_a629.8 _223 |
100 | 1 |
_aLuo, Hao. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _958102 |
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245 | 1 | 0 |
_aPlug-and-Play Monitoring and Performance Optimization for Industrial Automation Processes _h[electronic resource] / _cby Hao Luo. |
250 | _a1st ed. 2017. | ||
264 | 1 |
_aWiesbaden : _bSpringer Fachmedien Wiesbaden : _bImprint: Springer Vieweg, _c2017. |
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300 |
_aXVII, 149 p. 67 illus., 49 illus. in color. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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_acomputer _bc _2rdamedia |
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_aonline resource _bcr _2rdacarrier |
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_atext file _bPDF _2rda |
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505 | 0 | _aPnP Process Monitoring and Control Architecture -- Real-Time Configuration Techniques for PnP Process Monitoring -- Real-Time Configuration Techniques for PnP Performance Optimization -- Benchmark Study and Real-Time Implementation. | |
520 | _aDr.-Ing. Hao Luo demonstrates the developments of advanced plug-and-play (PnP) process monitoring and control systems for industrial automation processes. With aid of the so-called Youla parameterization, a novel PnP process monitoring and control architecture (PnP-PMCA) with modularized components is proposed. To validate the developments, a case study on an industrial rolling mill benchmark is performed, and the real-time implementation on a laboratory brushless DC motor is presented. Contents PnP Process Monitoring and Control Architecture Real-Time Configuration Techniques for PnP Process Monitoring Real-Time Configuration Techniques for PnP Performance Optimization Benchmark Study and Real-Time Implementation Target Groups Researchers and students of Automation and Control Engineering Practitioners in the area of Industrial and Production Engineering The Author Hao Luo received the Ph.D. degree at the Institute for Automatic Control and Complex Systems (AKS) at the University of Duisburg-Essen, Germany, in 2016. His research interests include model-based and data-driven fault diagnosis, fault-tolerant systems and their industrial applications. | ||
650 | 0 |
_aControl engineering. _931970 |
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650 | 0 |
_aRobotics. _92393 |
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650 | 0 |
_aAutomation. _92392 |
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650 | 0 |
_aElectrical engineering. _958103 |
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650 | 0 |
_aIndustrial engineering. _931641 |
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650 | 0 |
_aProduction engineering. _93683 |
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650 | 1 | 4 |
_aControl, Robotics, Automation. _931971 |
650 | 2 | 4 |
_aElectrical and Electronic Engineering. _958104 |
650 | 2 | 4 |
_aIndustrial and Production Engineering. _931644 |
710 | 2 |
_aSpringerLink (Online service) _958105 |
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773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783658159276 |
776 | 0 | 8 |
_iPrinted edition: _z9783658159290 |
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-658-15928-3 |
912 | _aZDB-2-ENG | ||
912 | _aZDB-2-SXE | ||
942 | _cEBK | ||
999 |
_c80076 _d80076 |