A probabilistic framework for product health monitoring in multistage manufacturing using Unsupervised Artificial Neural Networks and Gaussian Processes (Englisch)
Freier Zugriff
- Neue Suche nach: Papananias, Moschos
- Weitere Informationen zu Papananias, Moschos:
- https://orcid.org/0000-0001-7121-9681
- Neue Suche nach: McLeay, Thomas E
- Weitere Informationen zu McLeay, Thomas E:
- https://orcid.org/0000-0002-7509-0771
- Neue Suche nach: Mahfouf, Mahdi
- Neue Suche nach: Kadirkamanathan, Visakan
- Neue Suche nach: Papananias, Moschos
- Weitere Informationen zu Papananias, Moschos:
- https://orcid.org/0000-0001-7121-9681
- Neue Suche nach: McLeay, Thomas E
- Weitere Informationen zu McLeay, Thomas E:
- https://orcid.org/0000-0002-7509-0771
- Neue Suche nach: Mahfouf, Mahdi
- Neue Suche nach: Kadirkamanathan, Visakan
In:
Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture
;
237
, 9
;
1295-1310
;
2023
- Aufsatz (Zeitschrift) / Elektronische Ressource
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Titel:A probabilistic framework for product health monitoring in multistage manufacturing using Unsupervised Artificial Neural Networks and Gaussian Processes
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Beteiligte:Papananias, Moschos ( Autor:in ) / McLeay, Thomas E ( Autor:in ) / Mahfouf, Mahdi ( Autor:in ) / Kadirkamanathan, Visakan ( Autor:in )
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Erschienen in:
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Verlag:
- Neue Suche nach: SAGE Publications
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Erscheinungsdatum:01.07.2023
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Format / Umfang:16 pages
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ISSN:
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DOI:
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Medientyp:Aufsatz (Zeitschrift)
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Format:Elektronische Ressource
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Sprache:Englisch
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Schlagwörter:
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Datenquelle:
Inhaltsverzeichnis – Band 237, Ausgabe 9
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