机械科学与技术2017，Vol.36Issue(6)：827-833,7.DOI:10.13433/j.cnki.1003-8728.2017.0602
量化特征关系用于不完备故障诊断的知识获取方法
Knowledge Discovery Method of Incomplete Fault Diagnosis Information via Valued Characteristic Relation
摘要
Abstract
In order to discover decision rules from incomplete fault diagnosis information containing multiple unknown attribute values,a knowledge discovery method of incomplete fault diagnosis information by using valued characteristic relation is proposed.Firstly,the unknown attribute value types are determined according to the reasons for incomplete information.Secondly,the incomplete fault diagnosis information is analyzed by using the valued characteristic relation.Finally,the decision rules for fault diagnosis are discovered according to the attribute reduction algorithm based on the valued characteristic relation.The effectiveness of the method is demonstrated with the diagnosis case of faulty gearbox.The experimental results show that the present method can directly discover the accurate decision rules from incomplete fault diagnosis information with three categories of unknown attribute values.关键词
量化特征关系/不完备信息/故障诊断/知识获取Key words
valued characteristic relation/incomplete information/fault diagnosis/knowledge discovery分类
信息技术与安全科学引用本文复制引用
于军,赵学增..量化特征关系用于不完备故障诊断的知识获取方法[J].机械科学与技术,2017,36(6):827-833,7.基金项目
国家自然科学基金项目(51175102,61673142)资助 （51175102,61673142）
