| 决策树算法在电路故障诊断中的应用 |
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| 引用本文： | 陈绍炜,王 聪,赵 帅.决策树算法在电路故障诊断中的应用[J].计算机工程与应用,2013,49(12):233-236. |
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| 作者姓名： | 陈绍炜 王 聪 赵 帅 |
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| 作者单位： | 西北工业大学 电子信息学院，西安 710129 |
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| 摘 要： | 针对PHM（Prognostic and Health Management）中数据挖掘和知识获取困难的问题，提出一种以J48决策树算法为基础的故障诊断方法。采用了开源数据挖掘软件Weka，对CTSV滤波器故障仿真数据进行计算，对故障数据进行属性清理和参数选择。生成的决策树模型有很高的交叉验证率和分类效果。
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| 关 键 词： | 故障诊断 分类 J48决策树 Weka |
Application of decision tree in circuit fault diagnosis |
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| CHEN Shaowei,WANG Cong,ZHAO Shuai.Application of decision tree in circuit fault diagnosis[J].Computer Engineering and Applications,2013,49(12):233-236. |
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| Authors: | CHEN Shaowei WANG Cong ZHAO Shuai |
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| Affiliation: | School of Electronics and Information, Northwestern Polytechnical University, Xi’an 710129, China |
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| Abstract: | According to the data mining and knowledge acquisition problems of PHM（Prognostic and Health Management）, this paper proposes a fault diagnosis method based on J48 decision tree algorithm. It calculates the fault simulation data of CTSV filter by using Weka which is a kind of open-source data mining software, then cleans up attributes and selects parameters of the aircraft engine. The decision tree model has a high cross-validation rate and the classification effect. |
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| Keywords: | fault diagnosis classify J48 decision tree Weka |
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