中国电机工程学报2001，Vol.21Issue(2)：50-55,6.
判决树方法用于变压器故障诊断的研究
ELECTRIC POWER TRANSFORMER FAULT DIAGNOSIS USING DECISION TREE
孙辉 1李卫东 2孙启忠3
作者信息
- 1. 东北电力学院,
- 2. 大连理工大学,
- 3. 抚顺电业局,
- 折叠
摘要
Abstract
Based on ID3 method, which belong to pattern recognition, an electric power transformer fault diagnosis method is proposed. As the ID3 method can handle the non-numerical value feature patterns and has the function that can learn decision rules from samples, the application of the proposed method to some realistic samples shows that the ID3 method fit for transformer fault diagnosis perfectly. Through discussion, the advantages of the proposed method, compare to the other method, which use AI, such as: artificial neural nets, expert system, are pointed out. It can be seen that the combination of ID3 method with other AI method is an effective way to the practical fault diagnosis of electric power transformer.关键词
电力变压器/故障诊断/人工智能/ID3(判决树)方法分类
信息技术与安全科学引用本文复制引用
孙辉,李卫东,孙启忠..判决树方法用于变压器故障诊断的研究[J].中国电机工程学报,2001,21(2):50-55,6.
