A Computer Disassembly Method Based on Ontology-Case-Based Reasoning

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Abstract:

The traditional computer disassembly method can only be used to deal with some simply disassembly. Meanwhile the process of disassembly solution is mainly done by manual with the help of specialists and computers. To solve these problems, a new computer disassembly method, ontology-case-based reasoning (OCBR) is presented in this paper. In this method, the traditional disassembly method CBR is improved. The ontology, which is employed to build the case structure and to describe the individual case, is applied to the modified CBR. Due to the properties of ontology, the new method performs quite in theory and it paves the way of computer disassembly research in future.

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Periodical:

Advanced Materials Research (Volumes 452-453)

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1398-1402

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January 2012

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] IVRAHIM ZEID, SURENDRA M. GUPTA and THEODORE BARDASZ, A case-based reasoning approach to planning for disassembly[J], Journal of Intelligent Manufacturing, 1997, (8): 97-106.

Google Scholar

[2] WANG Hui, XIANG Dong, DUAN Guang-hong, Product disassembly sequence planning based on ant colony algorithm[J], Computer Integrated Manufacturing Systmens, 2006, (9): 1432-1437 (In Chinese).

Google Scholar

[3] Homen de Mello, LS Sanderson, A.C. A correct and complete algorithm for the generation of mathematical assembly sequences, IEEE Trans., Robotics and Automation, 1991, 7(2): 228—240.

DOI: 10.1109/70.75905

Google Scholar

[4] PITIPONG VEERAKAMOLMAL and SURENDRA M. GUPTA, A case-based reasoning approach for automating disassembly process planning[J], Journal of Intelligent Manufacturing, 2002, (13): 47-60.

Google Scholar

[5] ZHAO Xi-liang, ZHANG Xiu-shan, Disassembly Product Information Modeling Ontology Based Approach[J], Computer Technology and development, 2010, 20(9): 29-35.

Google Scholar

[6] Meziane F., Vadera S., Kobbacy K., and Proudlove N, Intelligent systems in manufacturing: Current developments and future prospects, Integrated Manufacturing Systems, 2000, 11(4): 218-238.

DOI: 10.1108/09576060010326221

Google Scholar

[7] Thomas R. Gruber, Toward Principles for the Design of Ontologies Usedfor Knowledge Sharing, International Journal of Human-Computer Studies, 1995, (43): 907-928.

DOI: 10.1006/ijhc.1995.1081

Google Scholar

[8] Borst W N, Construction of Engineering Ontologies for Knowledge Sharing and Reuse, PhD thesis, University of Twente, Enschede, (1997).

Google Scholar

[9] Studer R, Benjamins VR, Fensel D, Knowledge Engineering, Principleand Methods, Data and Knowledge Engineering, 1998, (25): 161-197.

DOI: 10.1016/s0169-023x(97)00056-6

Google Scholar

[10] Shaohua Zhao, Jianjun YI, Ying CHENG, Research on knowledge modeling for the Automotive Fault Diagnosis System based on Ontology, 2010(3): 5322 – 5326.

Google Scholar