计算机与数字工程2016，Vol.44Issue(9)：1785-1789,1811,6.DOI:10.3969/j.issn.1672-9722.2016.09.034
其于数据挖掘的旋转机械故障诊断研究与应用
Research and Application of Rotating Machinery Fault Diagnosis Based on Data Mining
摘要
Abstract
In view of the complicated problem of rotating machinery fault diagnosis ,classification method of rotating machinery fault diagnosis based on rough sets is proposed .First discernibility matrix of rough set are used to attribute reduc‐tion ,the decision tree method is used to classify ,finally the classification rules are gotten as a work in the basis of fault diag‐nosis .This method improves the efficiency of data mining and the accuracy of fault diagnosis classification .关键词
旋转机械/故障诊断/粗糙集/差别距阵/决策树Key words
rotating machinery/fault diagnosis/rough set/the difference matrix/decision tree分类
信息技术与安全科学引用本文复制引用
侯国安,贺晓莹..其于数据挖掘的旋转机械故障诊断研究与应用[J].计算机与数字工程,2016,44(9):1785-1789,1811,6.
