| 000 | 04592nam a22005895i 4500 | ||
|---|---|---|---|
| 001 | 978-3-030-66849-5 | ||
| 003 | DE-He213 | ||
| 005 | 20220801213519.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 210220s2021 sz | s |||| 0|eng d | ||
| 020 |
_a9783030668495 _9978-3-030-66849-5 |
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| 024 | 7 |
_a10.1007/978-3-030-66849-5 _2doi |
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| 050 | 4 | _aTS1-2301 | |
| 072 | 7 |
_aTGP _2bicssc |
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_aTEC020000 _2bisacsh |
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_aTGP _2thema |
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_a670 _223 |
| 245 | 1 | 0 |
_aData Driven Smart Manufacturing Technologies and Applications _h[electronic resource] / _cedited by Weidong Li, Yuchen Liang, Sheng Wang. |
| 250 | _a1st ed. 2021. | ||
| 264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2021. |
|
| 300 |
_aIX, 218 p. 143 illus., 130 illus. in color. _bonline resource. |
||
| 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 |
||
| 490 | 1 |
_aSpringer Series in Advanced Manufacturing, _x2196-1735 |
|
| 505 | 0 | _aPart I: Introduction and Fundamental -- Introduction -- Big Data Analytics and Deep Learning Algorithms -- Part II: Survey -- Intelligent Manufacturing Prognosis: A Survey -- Sustainable Manufacturing Enabled by Artificial Intelligence: A Survey -- Human-Robot Collaboration and Artificial Intelligence: A Survey -- Part III: Applications and Case Studies -- Fog Computing and Convolutional Neural Network Enabled Machining Prognosis and Optimisation -- Big Data Enabled Intelligent Immune System for Energy Efficient Manufacturing Management -- Tool Wear Prognosis Using Deep Learning Algorithms -- Big Data Analytics Supported Close-loop Machining Control and Optimisation -- Intelligent Learning from Demonstrators for Human-Robot Collaboration -- Human-Robot Collaboration and Intelligent Welding Applications -- Deep Learning Driven Intelligent Welding Robotics. | |
| 520 | _aThis book reports innovative deep learning and big data analytics technologies for smart manufacturing applications. In this book, theoretical foundations, as well as the state-of-the-art and practical implementations for the relevant technologies, are covered. This book details the relevant applied research conducted by the authors in some important manufacturing applications, including intelligent prognosis on manufacturing processes, sustainable manufacturing and human-robot cooperation. Industrial case studies included in this book illustrate the design details of the algorithms and methodologies for the applications, in a bid to provide useful references to readers. Smart manufacturing aims to take advantage of advanced information and artificial intelligent technologies to enable flexibility in physical manufacturing processes to address increasingly dynamic markets. In recent years, the development of innovative deep learning and big data analytics algorithms is dramatic. Meanwhile, the algorithms and technologies have been widely applied to facilitate various manufacturing applications. It is essential to make a timely update on this subject considering its importance and rapid progress. This book offers a valuable resource for researchers in the smart manufacturing communities, as well as practicing engineers and decision makers in industry and all those interested in smart manufacturing and Industry 4.0. | ||
| 650 | 0 |
_aManufactures. _931642 |
|
| 650 | 0 |
_aRobotics. _92393 |
|
| 650 | 0 |
_aComputer simulation. _95106 |
|
| 650 | 0 |
_aMechanical engineering. _95856 |
|
| 650 | 1 | 4 |
_aMachines, Tools, Processes. _931645 |
| 650 | 2 | 4 |
_aRobotics. _92393 |
| 650 | 2 | 4 |
_aComputer Modelling. _932544 |
| 650 | 2 | 4 |
_aMechanical Engineering. _95856 |
| 700 | 1 |
_aLi, Weidong. _eeditor. _0(orcid)0000-0001-5559-7834 _1https://orcid.org/0000-0001-5559-7834 _4edt _4http://id.loc.gov/vocabulary/relators/edt _932545 |
|
| 700 | 1 |
_aLiang, Yuchen. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _932546 |
|
| 700 | 1 |
_aWang, Sheng. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _932547 |
|
| 710 | 2 |
_aSpringerLink (Online service) _932548 |
|
| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030668488 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030668501 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030668518 |
| 830 | 0 |
_aSpringer Series in Advanced Manufacturing, _x2196-1735 _932549 |
|
| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-030-66849-5 |
| 912 | _aZDB-2-ENG | ||
| 912 | _aZDB-2-SXE | ||
| 942 | _cEBK | ||
| 999 |
_c75265 _d75265 |
||