节点文献
基于粗糙集的机车电线路故障诊断方法
Fault detection and diagnosis for the locomotive circuit based on rough set
【摘要】 首先将检测和故障分析需要用的数据和信息存入数据库,经过处理、约简,提取相关属性核,形成相关处理规则。从实验结果可知,基于粗糙集的故障检测方法对处理大型数据非常适合,可以大大减少处理数据的工作量。
【Abstract】 Firstly the data and information needed by fault detection and diagnosis is put into the data base,and then processed and simplified.The attribute cores are extracted to form the corresponding control rule.The experiment results show that the fault diagnosis with the rough set is suitable to deal with the large data.
【关键词】 故障诊断;
粗糙集;
机车;
属性核;
【Key words】 fault detection and diagnosis; rough set; locomotive; attribute core.;
【Key words】 fault detection and diagnosis; rough set; locomotive; attribute core.;
【基金】 吉林省教育厅科研计划基金资助项目(2006079)
- 【文献出处】 长春工业大学学报(自然科学版) ,Journal of Changchun University of Technology(Natural Science Edition) , 编辑部邮箱 ,2008年05期
- 【分类号】U269;TP18
- 【被引频次】2
- 【下载频次】52