燕山大学学报2016，Vol.40Issue(4)：301-310,10.DOI:10.3969/j.issn.1007-791X.2016.04.003
基于本体推理的故障信息关联及诊断应用研究
Application of fault information association and diagnosis based on ontology reasoning
任鹏 1宋仁旺1
作者信息
- 1. 太原科技大学 电子信息工程学院，山西 太原030024
- 折叠
摘要
Abstract
In the light of a fault diagnosis expert system knowledge in the ontology knowledge base, a engineering machinery is taken as the research object, a problem of the hydraulic system of concrete pump is studied, and the related links are found out.According to the characteristics of engineering machinery fault diagnosis, the structure level of the ontology is designed, and the new inference rules are formulated by C#.Through the experimental tests, it can be known that the technology of ontology reasoning can more effec-tively find the link between the failure knowledge.At the same time, the improved C-F inference rules can effectively deal with mul-tiple combinations of evidence.These technologies and rules can be used to to optimize the reasoning process and improve the rea-soning results and the practical application value.关键词
故障诊断/本体推理/关联链接/C-F算法Key words
fault diagnosis/ontology reasoning/related links/C-F algorithm分类
信息技术与安全科学引用本文复制引用
任鹏,宋仁旺..基于本体推理的故障信息关联及诊断应用研究[J].燕山大学学报,2016,40(4):301-310,10.
