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Research on the Fault Diagnosis Knowledge Representation and Application Method Based on Ontology

Journal Advanced Materials Research (Volume 305)
Volume Progress in Manufacturing Automation Technologies
Edited by Guanglin Wang, Huifeng Wang, Jun Liu and Xilin Zhu
Pages 243-246
DOI 10.4028/www.scientific.net/AMR.305.243
Citation Ju Li Deng et al., 2011, Advanced Materials Research, 305, 243
Online since July, 2011
Authors Ju Li Deng, Ya Hua Chen, Guo Rong Chen
Keywords Fault Diagnosis, Knowledge Reasoning, Knowledge Representation, Ontology
Abstract

The historical records of mechanical fault contain great amount of important information which is useful to identify the similar fault, but the structural representation and the knowledge reasoning problem are troubled that we use the historical records effectively. Aiming at the problem, the fault knowledge representation based on ontology is put forward out. Firstly, the knowledge characteristics, the ontology building significance and principle of fault are analyzed. Secondly, the fault ontology is defined and described. Finally, the applications of fault diagnosis ontology are studied in protégé. The case study shows that the fault knowledge representation based on ontology is very intuitive and efficient; it can provide us a novel way to deal with the fault diagnosis problem.

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