Systems Engineering and Electronics ›› 2022, Vol. 44 ›› Issue (2): 557-568.doi: 10.12305/j.issn.1001-506X.2022.02.25

• Systems Engineering • Previous Articles     Next Articles

Ontology based knowledge representation and reuse method for complex product maintenance engineering cases

Shuting WANG1,2, Xiaobing LIU1,2,*, Junhua ZHOU3, Zhaoyang BAI1,2, Xiang ZHAI3   

  1. 1. National and Local Joint Engineering Laboratory of Manufacturing Management Information Technology, Dalian University of Technology, Dalian 116024, China
    2. School of Economics and Management, Dalian University of Technology, Dalian 116024, China
    3. National Laboratory of Intelligent Manufacturing System Technology for Complex Products, Beijing Institute of Electronic Engineering, Beijing 100854, China
  • Received:2020-11-26 Online:2022-02-18 Published:2022-02-24
  • Contact: Xiaobing LIU

Abstract:

Complex product is the foundation of national economy. Aiming at the problems of difficult knowledge representation and poor reuse effect in the maintenance stage of complex product, the representation and reuse method of complex product maintenance engineering case knowledge is proposed. Firstly, based on the analysis of complex product maintenance domain knowledge types and application scenarios, a complex product maintenance engineering case knowledge architecture is designed, and a four layer ontology model of complex product maintenance engineering case is constructed to realize the independent representation of declarative knowledge and process knowledge in maintenance phase. Then, the knowledge reuse model of complex product maintenance engineering case is constructed. Based on the similarity and fitness, the historical cases suitable for solving maintenance problems are matched to realize the effective reuse of maintenance knowledge. Finally, the maintenance process of the electrical multiple unit is taken as an example to verify the effectiveness of the proposed method. The method can provide reference for the knowledge reuse of complex product life cycle engineering cases.

Key words: maintenance engineering case for complex product (MECCP), ontology, case representation, knowledge reuse

CLC Number: 

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