An Ontology Modeling Method of Mechanical Fault Diagnosis System Based on RSM

摘要：

The intelligent level and diagnostic accuracy of mechanical fault diagnosis system depend on the knowledge quantity and quality in its library. While fusing existing knowledge is an important method to increase the knowledge quantity and quality in library. Accordingly, this paper using resource space model (RSM) of knowledge grid (KG) to classify and manage the fault diagnosis knowledge, then proposed an ontology modeling method of mechanical fault diagnosis system. Based on the method, we using protégé 4 to construct an ontology of AC motor faults diagnosis.

关键词： ontology mechanical fault diagnosis resource space model protege

作者: Hong Wen YinLuan Zhen Huifu Zhang Anhua Chen Deshun Liu

作者单位: Hunan University of Science and Technology Xiangtan, China

会议类型: 国际会议

会议名称: Fifth International Conference on Semantics,Knowledge and Grid(第五届语义、知识与网格国际会议 SKG 2009)

会议地点: 珠海

会议语种:英文

页码: 408-409

在线出版日期: 2009-10-12（万方平台首次上网日期，不代表论文的发表时间）