Int J Performability Eng ›› 2019, Vol. 15 ›› Issue (2): 454-463.doi: 10.23940/ijpe.19.02.p10.454463

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Ontology-based Fault Diagnosis and Maintenance Process Generation of Electromechanical System

Yuguo Xua*(), Shixin Zhanga, Yong Lia, and Jiawang Liub   

  1. a Department of Equipment Support and Remanufacture, Academy of Army Armored Force,Beijing, 100072,China
    b Unit 77562,Chinese People’s Liberation Army, Shigatse, 857000,China
  • Submitted on ;
  • Contact: Xu Yuguo E-mail:mountren@126.com

Abstract:

In view of the complex fault diagnosis theory of complex equipment electromechanical systems and the difficulty of all maintenance process maintenance personnel, the ontology was introduced as a technical tool for knowledge modeling. Based on the analysis of fault diagnosis, maintenance process of knowledge structure and electromechanical systems, anduse of protégé,the fault diagnosis and maintenance process of knowledge models of electromechanical systems was constructed. The faults diagnosis and auxiliary generation of the maintenance process for electromechanical systems were realized through FaCT++ reasoner to infer the constructed ontology. The model was verified, and the fault diagnosis and maintenance process knowledge could be integrated. Sharing and improving the efficiency of knowledge organization and maintenance technical support provide new technical means for effectively managing knowledge in the field of using electromechanical systems.

Key words: electromechanical system, ontology, fault diagnosis, maintenance process generation