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

•This paper is focused on knowledge classification and modelling, knowledge is classified into three dimensions and maintenance case is represented by description units.•Adaptation guided case-based reasoning is researched in this paper, in which both concept relevancy and concept similarity are con...

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Vydáno v:	Robotics and computer-integrated manufacturing Ročník 58; s. 80 - 96
Hlavní autoři:	Wan, Shan, Li, Dongbo, Gao, James, Li, Jing
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Oxford Elsevier Ltd 01.08.2019 Elsevier BV
Témata:	Algorithms Business Business machines Case-based reasoning CNC machine tool Control equipment Dependence Knowledge based systems Knowledge bases (artificial intelligence) Knowledge management Knowledge representation Machine tool industry Machine tools Maintenance Manufacturers Manufacturing Manufacturing system Mathematical models Numerical controls Reasoning Suppliers Knowledge management Maintenance Manufacturing system CNC machine tool Case-based reasoning
ISSN:	0736-5845, 1879-2537
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Abstract	•This paper is focused on knowledge classification and modelling, knowledge is classified into three dimensions and maintenance case is represented by description units.•Adaptation guided case-based reasoning is researched in this paper, in which both concept relevancy and concept similarity are considered in the retrieving stage.•Industrial example is illustrated to show the effectiveness of the proposed method in this paper.•A prototype maintenance planning system has been implemented by using an open source content management system to further verify the proposed method. 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 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.
AbstractList	•This paper is focused on knowledge classification and modelling, knowledge is classified into three dimensions and maintenance case is represented by description units.•Adaptation guided case-based reasoning is researched in this paper, in which both concept relevancy and concept similarity are considered in the retrieving stage.•Industrial example is illustrated to show the effectiveness of the proposed method in this paper.•A prototype maintenance planning system has been implemented by using an open source content management system to further verify the proposed method. 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 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. 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 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.
Author	Li, Dongbo Wan, Shan Li, Jing Gao, James
Author_xml	– sequence: 1 givenname: Shan surname: Wan fullname: Wan, Shan email: shanwan23@hotmail.com organization: College of Engineering, Nanjing Agricultural University, Nanjing, Jiangsu 210031, China – sequence: 2 givenname: Dongbo surname: Li fullname: Li, Dongbo organization: School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu 210094, China – sequence: 3 givenname: James orcidid: 0000-0001-5625-3654 surname: Gao fullname: Gao, James organization: School of Engineering, University of Greenwich, Chatham Maritime, Kent ME4 4 TB, UK – sequence: 4 givenname: Jing surname: Li fullname: Li, Jing organization: College of Engineering, Nanjing Agricultural University, Nanjing, Jiangsu 210031, China
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Snippet	•This paper is focused on knowledge classification and modelling, knowledge is classified into three dimensions and maintenance case is represented by... In advanced manufacturing systems, Computer Numerical Control (CNC) machine tools are important equipment to manufacture product components of high precision,...
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SubjectTerms	Algorithms Business Business machines Case-based reasoning CNC machine tool Control equipment Dependence Knowledge based systems Knowledge bases (artificial intelligence) Knowledge management Knowledge representation Machine tool industry Machine tools Maintenance Manufacturers Manufacturing Manufacturing system Mathematical models Numerical controls Reasoning Suppliers
Title	A knowledge based machine tool maintenance planning system using case-based reasoning techniques
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