基于SVR和粗集的装备现场信息预处理研究  

A Study of Local Information Preprocessing of Equipment Based on SVR and Rough Set

作　　者：刘建辉 秦现生[1] 

机构地区：[1]西北工业大学,西安7100722 [2]西安建筑科技大学,西安710055

出　　处：《中国机械工程》2009年第22期2706-2710,共5页China Mechanical Engineering

摘　　要：进行了用于远程协同故障诊断异地信息传输的装备现场信息预处理研究,介绍了在线SVR预测方法在装备健康状况预测中的应用,从而为现场信息预处理调用深层、浅层信息处理的执行策略提供参考依据。深层信息处理则将粗集用于装备现场诊断规则整理。给出了现场信息预处理的硬件实现和其在混凝土运输车上的应用实例,证明了研究内容的有效性。An ID--LIP was proposed,which was used in information transmission of RCFD. An on --line SVR prediction method was introduced significantly, which was applied in equipment performance prediction, the prediction results can provide a reference basis for executing strategy of ID--LIP to manipulate deep or shallow information preprocessing. Deep information preprocessing can adopt rough set to sort local diagnostic rules of equipment. The hardware realization and application examples of ID--LIP on concrete transport vehicle was also presented, and the examples verify the effectiveness of this study.

关 键 词：远程协同故障诊断 现场信息预处理 支持向量机回归 粗集 混凝土运输车 

分 类 号：TH17[机械工程—机械制造及自动化] TP2[自动化与计算机技术—检测技术与自动化装置]