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An expert system-based approach for improving energy efficiency of chamber cleaning machines

Ioshchikhes, Borys ; Elserafi, Ghada ; Weigold, Matthias
Hrsg.: Herberger, David ; Hübner, Marco ; Stich, Volker (2023)
An expert system-based approach for improving energy efficiency of chamber cleaning machines.
4th Conference on Production Systems and Logistics. Santiago de Querétaro, Mexico (28.02.-03.03.2023)
doi: 10.15488/13419
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (Abstract)

Increased transparency and domain expertise are often prerequisites for identifying energy savings potentials and improving energy efficiency in manufacturing systems. Small and medium-sized enterprises pursuing a reduction in CO2 emissions are especially faced with challenges from the complexity of process data and limited domain expertise. Against this background, this paper presents an expert system for preliminary energy diagnostics using automated energy analysis of production machines and providing measures for improving energy efficiency. Due to their significant energy consumption and increasing importance along various process chains, the use case is developed for chamber cleaning machines. A knowledge base is combined with artificial intelligence techniques for data processing to reveal efficiency potentials based on machine load profiles. The knowledge base created by experts assigns domain-specific information to the automatically processed input data. Key performance indicators are then utilized for internal and external benchmarking and quantification of energy potential, narrowing down promising energy efficiency measures. The suitability of the proposed approach is demonstrated by applying the expert system to two different chamber cleaning machines.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2023
Herausgeber: Herberger, David ; Hübner, Marco ; Stich, Volker
Autor(en): Ioshchikhes, Borys ; Elserafi, Ghada ; Weigold, Matthias
Art des Eintrags: Bibliographie
Titel: An expert system-based approach for improving energy efficiency of chamber cleaning machines
Sprache: Englisch
Publikationsjahr: 2023
Ort: Hannover
Verlag: publish-Ing.
Buchtitel: Proceedings of the Conference on Production Systems and Logistics: CPSL 2023
Veranstaltungstitel: 4th Conference on Production Systems and Logistics
Veranstaltungsort: Santiago de Querétaro, Mexico
Veranstaltungsdatum: 28.02.-03.03.2023
DOI: 10.15488/13419
URL / URN: https://www.repo.uni-hannover.de/handle/123456789/13529
Kurzbeschreibung (Abstract):

Increased transparency and domain expertise are often prerequisites for identifying energy savings potentials and improving energy efficiency in manufacturing systems. Small and medium-sized enterprises pursuing a reduction in CO2 emissions are especially faced with challenges from the complexity of process data and limited domain expertise. Against this background, this paper presents an expert system for preliminary energy diagnostics using automated energy analysis of production machines and providing measures for improving energy efficiency. Due to their significant energy consumption and increasing importance along various process chains, the use case is developed for chamber cleaning machines. A knowledge base is combined with artificial intelligence techniques for data processing to reveal efficiency potentials based on machine load profiles. The knowledge base created by experts assigns domain-specific information to the automatically processed input data. Key performance indicators are then utilized for internal and external benchmarking and quantification of energy potential, narrowing down promising energy efficiency measures. The suitability of the proposed approach is demonstrated by applying the expert system to two different chamber cleaning machines.

Freie Schlagworte: artificial intelligence, energy analysis, knowledge management, parts cleaning, sustainable manufacturing
Fachbereich(e)/-gebiet(e): 16 Fachbereich Maschinenbau
16 Fachbereich Maschinenbau > Institut für Produktionsmanagement und Werkzeugmaschinen (PTW)
16 Fachbereich Maschinenbau > Institut für Produktionsmanagement und Werkzeugmaschinen (PTW) > ETA Energietechnologien und Anwendungen in der Produktion
Hinterlegungsdatum: 05 Mai 2023 13:13
Letzte Änderung: 08 Mai 2023 05:17
PPN: 507530330
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