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Erschienen in:
Evolution of Manufacturing and Its Journey Towards Digital Twin Kapitel lesen Erstes Kapitel lesen

2022 | OriginalPaper | Buchkapitel

6. Artificial Intelligence and Machine Learning in Manufacturing

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

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

Verlag: Springer International Publishing

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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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Vorheriges Kapitel Data Communication-Edge, Fog, and Cloud Computing
Nächstes Kapitel Digital Twin Application
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Metadaten
Titel
Artificial Intelligence and Machine Learning in Manufacturing
verfasst von
Surjya Kanta Pal
Debasish Mishra
Arpan Pal
Samik Dutta
Debashish Chakravarty
Srikanta Pal
Copyright-Jahr
2022
Buch
Digital Twin – Fundamental Concepts to Applications in Advanced Manufacturing

Print ISBN: 978-3-030-81814-2

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

Copyright-Jahr: 2022

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

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