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Record Nr. |
UNINA9910523748203321 |
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Autore |
Pal Surjya Kanta |
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Titolo |
Digital Twin – Fundamental Concepts to Applications in Advanced Manufacturing / / by Surjya Kanta Pal, Debasish Mishra, Arpan Pal, Samik Dutta, Debashish Chakravarty, Srikanta Pal |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
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ISBN |
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Edizione |
[1st ed. 2022.] |
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Descrizione fisica |
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1 online resource (xxxvi, 465 pages : illustrations (some colour) |
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Collana |
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Springer Series in Advanced Manufacturing, , 2196-1735 |
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Disciplina |
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Soggetti |
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Industrial engineering |
Production engineering |
Manufactures |
Internet of things |
Signal processing |
Machine learning |
Industrial and Production Engineering |
Machines, Tools, Processes |
Internet of Things |
Signal, Speech and Image Processing |
Machine Learning |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references |
Includes bibliographical references. |
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Nota di contenuto |
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Introduction -- Sensor Electronics -- Signal Acquisition and Processing -- Image Processing -- Data Communication: Cloud and Fog Computing -- Machine Learning and Decision Making -- Artificial Intelligence in Decision Making -- Digital Twin Application -- Conclusions. |
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Sommario/riassunto |
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This book provides readers with a guide to the use of Digital Twin in manufacturing. It presents a collection of fundamental ideas about sensor electronics and data acquisition, signal and image processing techniques, seamless data communications, artificial intelligence and |
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machine learning for decision making, and explains their necessity for the practical application of Digital Twin in Industry. Providing case studies relevant to the manufacturing processes, systems, and sub-systems, this book is beneficial for both academics and industry professionals within the field of Industry 4.0 and digital manufacturing. |
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