摘要
实践了基于专家知识和决策树的设备状态诊断方法。利用专家知识,一方面对样本数据属性进行裁剪,另一方面对正常运行中不易发生的边缘样本点进行人工构造,从而形成一个较完整的样本数据集;利用决策树算法进行规则提取,基于该树形规则,可实现快速状态诊断。
This paper tries to carry out a state diagnosis method based on decision tree algorithm and expert knowleage.bome OT sample properties are cut out,some special sample points are constructed basing on expert knowledge,a more integrated set of sample points is formed.Then rules are deducted from the above sample point set using decision tree algorithm.It can implement state diagnosis rapidly according to the above rules with tree structure.
出处
《工业控制计算机》
2011年第11期68-69,共2页
Industrial Control Computer
关键词
决策树
状态诊断
专家知识
decision tree,state diagnosis,expert knowledge
