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2022 | OriginalPaper | Chapter

6. Artificial Intelligence and Machine Learning in Manufacturing

Authors : Surjya Kanta Pal, Debasish Mishra, Arpan Pal, Samik Dutta, Debashish Chakravarty, Srikanta Pal

Published in: Digital Twin – Fundamental Concepts to Applications in Advanced Manufacturing

Publisher: Springer International Publishing

Abstract

The diagnosis of manufacturing processes and systems, prediction of machine health for corrective measures are mainly achieved through various machine learning techniques. In the previous chapters, discussions were held around the signal and image processing techniques, using which meaningful information was gathered from the raw data. The results are validated by correlating with the experiments.

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Title: Artificial Intelligence and Machine Learning in Manufacturing
Authors: Surjya Kanta Pal
Debasish Mishra
Arpan Pal
Samik Dutta
Debashish Chakravarty
Srikanta Pal
Publisher: Springer International Publishing
Book: Digital Twin – Fundamental Concepts to Applications in Advanced Manufacturing
Print ISBN: 978-3-030-81814-2

Electronic ISBN: 978-3-030-81815-9

Copyright Year: 2022
DOI: https://doi.org/10.1007/978-3-030-81815-9_6

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