HIGH-SPEED LOCOMOTIVE XBOM ONTOLOGY MODELING RESEARCH SUPPORTING MRO SEMANTIC KNOWLEDGE REPRESENTATION

  • BO Hong-guang Department of Management and Economics, Dalian University of Technology, Dalian 116024, China
  • Li Longlong Department of Management and Economics, Dalian University of Technology, Dalian 116024, China
  • Li Zhixiang Department of Management and Economics, Dalian University of Technology, Dalian 116024, China
Keywords: MRO, Semantic Knowledge, XBOM, Ontology Modeling

Abstract

The new trends of high-speed rail locomotive manufacturing set higher requirement for MRO knowledge representation and XBOM. Therefore, XBOM ontology modeling supporting MRO semantic knowledge representation has become an important research topic of the high speed railway locomotive manufacturing industry. This paper firstly expounds the model frame of high-speed locomotive XBOM ontology, then take the global ontology, the construction ontology and the maintenance plan ontology as examples; respectively carding and analyzing four approaches each ontology contains that class (concept), object, data attribute, and constraint rule and central with the supporting MRO semantic knowledge representation, the XBOM ontology conceptual model can be created; At last, High speed rail train MRO semantic knowledge representation was realized by using protégé4.1 ontology modeling of XBOM for high-speed locomotive

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References

Yang Wang, Xiaobing Liu, Xuewen Huang. Integration framework of semantic BOM knowledge for cloud manufacturing [J].Application Research of Computers, 2013, 07:2068-2071.

Ling Li, Min Liu, Ming Wu. Equipment operation management model based on composite maintenance BOM[J]. Computer Integrated Manufacturing Systems,,:1-21.

Jitian Wang, Shubin Si. The Integrated Modeling Method for the Maintenance BOM of Complex Equipment’s[J]. Machine Design and Manufacturing Engineering,2011,23:50-54.

Changren Wang .SAP EAM structuring large-scale production management system of power grid enterprises. [J]. China Plant Engineering, 2010(23):38-39.

Muh-Cherng Wu, Yang-Kang Hsu. Design of BOM configuration for reducing spare parts logistic cost [J]. Expert Systems with Applications, 2008(34):2417-2423. DOI: https://doi.org/10.1016/j.eswa.2007.04.001

Garg A, Deshmukh S G. Maintenance management: literature review and directions [J]. Journal of Quality in Maintenance Engineering, 2006, 12(3): 205-238. DOI: https://doi.org/10.1108/13552510610685075

Feng Liu, Li Zhang, Yingbo Liu, Jun Duan. Early-warning model oriented to maintenance procedures [J]. Computer Integrated Manufacturing Systems, 2010, 16(10):2109-2115.

Minglun Ren, Xu Yang,Jie Fu. Research on MRO knowledge management system for equipment operation and maintenance service [J].Journal of Hefei University of Technology (Natural Science), 2014, 12:1505-1512.

Jinxiang Dong. Knowledge management and processing based on semantic and oriented service. [M].Zhejiang university press, 2009.

Taa A, Abdullah M S, Norwawi N M. RAMEPs: a goal-ontology approach to analyze the requirements for data warehouse systems [J].WSEAS Transactions on Information Science and Applications, 2010, 7(2): 295-309.

Gruber T R. A translation approach to portable ontology specifications [J]. Knowledge acquisition, 1993, 5(2): 199-220. DOI: https://doi.org/10.1006/knac.1993.1008

Gruber T R. Towards Principles for the Design of Ontologies Used for Knowledge Sharing [J]. International Journal of Human Computer Studies, 1995, (43):907-92 DOI: https://doi.org/10.1006/ijhc.1995.1081

A.Bernaras, I.Laresgoiti, N.Bartolome, et al. Ontology for Fault Diagnosis in Electrical Networks. IEEE, 1999:199-203

Published
2018-03-31
How to Cite
Hong-guang, B., Longlong, L., & Zhixiang, L. (2018). HIGH-SPEED LOCOMOTIVE XBOM ONTOLOGY MODELING RESEARCH SUPPORTING MRO SEMANTIC KNOWLEDGE REPRESENTATION . International Journal of Engineering Technologies and Management Research, 5(3), 33-43. https://doi.org/10.29121/ijetmr.v5.i3.2018.175