油液监测故障诊断关联规则的挖掘研究  

Associated Rules Mining in Diagnosis Based on Oil Monitoring

作　　者：程海明[1] 吴青[1] 赵春华 

机构地区：[1]武汉理工大学物流工程学院,武汉430063 [2]武汉理工大学能源与动力学院,武汉430063

出　　处：《武汉理工大学学报（交通科学与工程版）》2004年第5期729-731,共3页Journal of Wuhan University of Technology（Transportation Science & Engineering）

基　　金：国家自然科学基金项目资助 (批准号 :5 0 2 75 111)

摘　　要：叙述了基于规则推理的传统专家系统对规则提取的局限性 ,介绍了数据挖掘的概念 ,并就柴油机故障诊断问题指出关联规则的必要性 ,确定了挖掘关联规则所需的数据库结构 .并讨论了柴油机系统单层次故障和多层次故障关联规则的挖掘 .The disadvantages of knowledge acquisition in traditional rule-based expert system are discussed in this paper. And then the concept of data mining is given. The necessity of associated rules in diesel engine diagnosis is determined, and the database structure needed for mining of associated rules is given. At last the mining of single level associated rules and multi level associated rules in diesel engine diagnosis are discussed.

关 键 词：数据挖掘 关联规则 故障诊断 

分 类 号：TK407[动力工程及工程热物理—动力机械及工程]