Knowledge representation for CNC equipment fault diagnosis system based on CBR

[1] de Mántaras R L,Ramón McSherry D,Bridge D.Reuse,revision and retention in case-based reasoning [J].Knowledge Engineering Review,2005,20(3):215-240 [2] Tung Y H,Tseng S S,Weng J F,et al.A rule-based CBR approach for expert finding and problem diagnosis [J].Expert Systems with Applications,2010,37(3):2427-2438 [3] Castro J L,Navarro M,Sánchez J M,et al.Loss and gain functions for CBR retrieval[J].Information Sciences,2009,179(11):1738-1750 [4] 王玉,邢渊,朱莉萍等.支持重用的层次智能CBR检索模型[J].机械科学与技术,2000,19(增刊):164-169 Wang Yu,Xing Yuan,Zhu Liping,et al.A hierarchical intelligent CBR retrieval model supporting reuse[J].Mechanical Science and Technology,2000,19(Supplement):164-169(in Chinese) [5] 李宏娟.基于规则和案例的压缩机集成故障诊断专家系统研究 .长沙:湖南大学机械与运载工程学院,2008 Li Hongjuan.Research on fault diagnosis expert system of compressor based on RBR and CBR .Changsha:College of Mechanical and Automotive engineering,Hunan University,2008(in Chinese) [6] Watson I,Perera S.A hierarchical case representation using context guided retrieval[J].Knowledge-Based Systems,1998,11(5):285-292 [7] 沈兵,厉承兆.数控系统故障诊断与维修手册[M].北京:机械工业出版社,2009:258-260,316-318 Shen Bing,Li Chengzhao.Numerical control system fault diagnosis and maintenance manual[M].Beijing: Mechanic Industry Press,2009:258-260,316-318(in Chinese) [8] 郑佩.基于案例推理的故障诊断技术研究 .武汉:华中科技大学机械科学与工程学院,2008 Zheng Pei.Research on fault diagnosis based on CBR .Wuhan:School of Mechanical Science and Engineering,Huazhong University of Science and Technology,2008(in Chinese)