TU Darmstadt / ULB / TUbiblio

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

Ioshchikhes, Borys ; Elserafi, Ghada ; Weigold, Matthias
eds.: 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
Conference or Workshop Item, Bibliographie

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.

Item Type: Conference or Workshop Item
Erschienen: 2023
Editors: Herberger, David ; Hübner, Marco ; Stich, Volker
Creators: Ioshchikhes, Borys ; Elserafi, Ghada ; Weigold, Matthias
Type of entry: Bibliographie
Title: An expert system-based approach for improving energy efficiency of chamber cleaning machines
Language: English
Date: 2023
Place of Publication: Hannover
Publisher: publish-Ing.
Book Title: Proceedings of the Conference on Production Systems and Logistics: CPSL 2023
Event Title: 4th Conference on Production Systems and Logistics
Event Location: Santiago de Querétaro, Mexico
Event Dates: 28.02.-03.03.2023
DOI: 10.15488/13419
URL / URN: https://www.repo.uni-hannover.de/handle/123456789/13529
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.

Uncontrolled Keywords: artificial intelligence, energy analysis, knowledge management, parts cleaning, sustainable manufacturing
Divisions: 16 Department of Mechanical Engineering
16 Department of Mechanical Engineering > Institute of Production Technology and Machine Tools (PTW)
16 Department of Mechanical Engineering > Institute of Production Technology and Machine Tools (PTW) > ETA Energy Technologies and Applications in Production
Date Deposited: 05 May 2023 13:13
Last Modified: 08 May 2023 05:17
PPN: 507530330
Export:
Suche nach Titel in: TUfind oder in Google
Send an inquiry Send an inquiry

Options (only for editors)
Show editorial Details Show editorial Details