Ontology-based fault diagnosis and maintenance process generation of electromechanical system

被引：0

作者：

Xu Y. ^{[1
]}

Zhang S. ^{[1
]}

Li Y. ^{[1
]}

Liu J. ^{[2
]}

机构：

[1] Department of Equipment Support and Remanufacture, Academy of Army Armored Force, Beijing

[2] Unit 77562, Chinese People’s Liberation Army, Shigatse

来源：

International Journal of Performability Engineering | 2019年 / 15卷 / 02期

关键词：

Electromechanical system; Fault diagnosis; Maintenance process generation; Ontology;

D O I：

10.23940/ijpe.19.02.p10.454463

中图分类号：

学科分类号：

摘要：

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, and use 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. © 2019 Totem Publisher, Inc. All rights reserved.

引用

页码：454 / 463

页数：9

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