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基于Labview的粗糙集机车故障诊断方法研究

Research of the Rough Set Fault Diagnosis Technology of Locomotive Based on Labview

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【作者】 王冬梅王继成

【Author】 WANG Dong-mei,WANG Ji-cheng(Changchun University of Technology,The Apartment of Electrical & Electronic engineer,Changchun 130012,China)

【机构】 长春工业大学电气与电子工程学院

【摘要】 详细阐述了以机车电线路为研究对象,设计了以labview实验平台和matlab数学软件为基础的、以粗糙集数学理论为方法的新型智能故障诊断系统,完成了故障诊断决策的提取和故障诊断决策数据库的构建及智能更新。并介绍了粗糙集理论的基本知识和应用方法,证实了该方法可以处理大量的、不确定的、不精确的数据,并可对机车上大量复杂的数据进行方便快速的处理。

【Abstract】 The design of new fault diagnosis system used the locomotive circuit as the research object,which based on labview and matlab software and based on the theory of rough set was introduced in this article.This system can extract the fault diagnosis decision and establish the database of the fault diagnosis decision and it can intelligent renew the database.It can effectively deal with the locomotive circuit data which is great deal of,incertitude,half-baked,imprecise.And it can through the data infer new inference rules.It can be elicited from the experiment result that fault diagnosis using rough set adapt to deal with large data very much and can reduce the workload.

【关键词】 粗糙集故障诊断labview
【Key words】 Rough setFault diagnosisLabview
【基金】 吉林省教育厅科研计划项目(合同书2006079)
  • 【文献出处】 装备制造技术 ,Equipment Manufacturing Technology , 编辑部邮箱 ,2008年07期
  • 【分类号】TP277
  • 【被引频次】1
  • 【下载频次】79
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