一种基于粗糙集理论的变压器故障多变量决策树诊断方法

本文介绍了一种基于粗糙集理论来构建变压器故障诊断多变量决策树的算法。该方法选择变压器故障决策表的相对于决策属性的范化作为决策树的根节点,再选择粗糙度最小的条件属性作为下一个分枝节点的检验属性,形成结构更为简洁合理的变压器故障诊断多变量决策树。通过实例比较验证了该方法的有效性。

A Multivariate Decision Tree Diagnosis Method for Transformer Fault Based on Rough Set Theory

In this paper a multivariate decision tree algorithm based on roughness of rough set theory in transformer fault diagnosis is presented.This method selects generalization relative to decision attribute in transformer fault decision table as root of the transformer fault diagnosis decision tree.Then this condition attribute will be the branching node if which has the smallest roughness.A more compact and reasonable multivariate decision tree of transformer fault diagnosis is formed ultimately.Results of instance comparison test verify the effectiveness of the method.