基于本体和CBR的数控机床故障诊断教学系统框架研究  

Research on CNC Machine Fault Diagnosis Learning System Framework Based on CBR and Ontolog

作　　者：程德蓉[1,2] 何玉林[3] 陈阵军[2] 伍技祥[2] 

机构地区：[1]重庆工商职业学院机电工程系,重庆400052 [2]重庆广播电视大学,重庆400052 [3]重庆大学机械学院,重庆400044

出　　处：《机床与液压》2011年第23期168-171,共4页Machine Tool & Hydraulics

基　　金：重庆市教育委员会科学技术研究资助项目(KJ091603);2008年重庆市科技攻关计划资助项目

摘　　要：在分析CBR和本体的特点的基础上,设计融合CBR和本体的数控机床故障诊断学习系统的架构,阐述其工作过程,重点研究数控机床故障诊断领域本体知识构建、基于领域本体的案例相似性检索匹配方法,给出数控机床故障诊断学习系统的实现方案并开发了此系统,实现了案例的检索和重用,为教师、学生及维修保障人员提供经验获取和学习利用的手段。The advantages of ontology and CBR were analyzed. A CNC machine tool fault diagnosis learning system framework based on CBR was designed. Its working process was explained. Ontology knowledge building of CNC machine tool fault diagnosis domain and ontology-based similarity retrieval of cases matching were focused on. The implementation scheme of CNC machine tool fault diagnosis learning system was given and the system was developed. The case retrieval and reuse were implemented. It provides means of experience gaining and learning to use for teachers, students and maintenance support personnel.

关 键 词：本体 案例推理 相似度计算 数控机床故障诊断学习系统 

分 类 号：TH165[机械工程—机械制造及自动化]