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A knowledge based machine tool maintenance planning system Using case-based reasoning techniques

A knowledge based machine tool maintenance planning system Using case-based reasoning techniques

Wan, Shan, Li, Dongbo, Gao, James ORCID: 0000-0001-5625-3654 and Li, Jing (2019) A knowledge based machine tool maintenance planning system Using case-based reasoning techniques. Robotics and Computer-Integrated Manufacturing, 58. pp. 80-96. ISSN 0736-5845 (doi:https://doi.org/10.1016/j.rcim.2019.01.012)

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Abstract

In advanced manufacturing systems, Computer Numerical Control (CNC) machine tools are important equipment to manufacture product components of high precision, whilst from equipment maintenance point of view, they are regarded as the ‘products’ provided by machine tool manufacturers. Therefore, the reliability of CNC machine tools affects not only the quality of the components they manufacture, but also the reputation and profits of equipment suppliers. This paper presents a novel knowledge-based maintenance planning system to facilitate information and knowledge sharing between all stakeholders including machine tool manufacturers, users (manufacturing systems), maintenance service providers and part suppliers (for machine tools), in the emerging ‘Product-Service’ business model. Case Based Reasoning principles have been implemented to improve the efficiency of maintenance planning. Ontologies were adopted to represent field knowledge using adaptation guided retrievals based on semantic similarity and correlation. The adaption algorithm has been developed based on the Casual Theory and the dependence relationship to generate the solution for required maintenance problems. The proposed system was implemented using Content Management technologies, which proved to have advantages over traditional database systems in managing engineering knowledge, and has been verified using an example CNC machine tool. The results were commented by industrial collaborators as very promising and further exploitation in industry was recommended.

Item Type: Article
Uncontrolled Keywords: Manufacturing system; CNC machine tool; Maintenance; Knowledge management; Case-based Reasoning
Subjects: T Technology > TS Manufactures
Faculty / Department / Research Group: Faculty of Engineering & Science
Faculty of Engineering & Science > Department of Applied Engineering & Management
Faculty of Engineering & Science > Design, Manufacturing and Innovative Products Research Theme
Last Modified: 19 May 2019 20:26
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: GREAT 3
URI: http://gala.gre.ac.uk/id/eprint/22933

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