数据挖掘技术在农业机械质量控制中的应用  

Design and Implementation on Data Mining Technology in Quality Control of Agricultural Machinery

作　　者：胡宇轩[1] 阎楚良[1] 

机构地区：[1]中国农业机械化科学研究院

出　　处：《农业机械学报》2007年第5期153-156,共4页Transactions of the Chinese Society for Agricultural Machinery

基　　金：国家科技基础平台建设项目(项目编号:2003DIB2J096)

摘　　要：针对传统质量信息分析方法只能获得产品故障表层信息这一问题,对数据挖掘技术在农业机械产品质量控制管理系统中的应用进行了研究,提出了以产品故障信息为基础的外部质量控制和分析的方法。经过运行测试证明:将决策树算法应用到系统中,可以为产品故障现象到故障原因的分析提供比较客观的决策支持。In. this paper the application of data mining technology in quality control of agricultural machinery was studied and quality control and analyse method based on product fault was presented, aiming at the problem that superficial information of product fault was got by traditional analytical way of quality information. After strict test and running, using decision tree algorithm of data mining helped the enterprise makes objective decision in the analyse of the relation between appearance and reason of product fault.

关 键 词：农业机械 质量控制 数据挖掘 决策树 

分 类 号：TP392[自动化与计算机技术—计算机应用技术]