| 基于时间序列的电力系统故障诊断规则挖掘 |
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| 引用本文： | 杨宜东,孙志挥.基于时间序列的电力系统故障诊断规则挖掘[J].计算机工程与应用,2003,39(17):223-224,232. |
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| 作者姓名： | 杨宜东 孙志挥 |
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| 作者单位： | 东南大学计算机科学与工程系,南京,210096 |
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| 基金项目： | 东南大学-南瑞继电保护公司学位论文基金 |
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| 摘 要： | 介绍了利用Rough集理论进行数据挖掘技术在电力系统故障诊断中的应用。针对电力系统中与时间序列相关的数据集,提出了基于Rough集的时间序列相关的分类规则挖掘算法。利用该算法得到的分类规则,可以较好地反映条件属性集随时间动态变化对系统状态的影响。
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| 关 键 词： | 粗糙集 规则获取 时间序列 故障诊断 |
| 文章编号： | 1002-8331-(2003)17-0223-02 |
Mining Rules Based on Time Sequences for Fault Diagnosis in Electric Power Systems |
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| Yang Yidong Sun Zhihui.Mining Rules Based on Time Sequences for Fault Diagnosis in Electric Power Systems[J].Computer Engineering and Applications,2003,39(17):223-224,232. |
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| Authors: | Yang Yidong Sun Zhihui |
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| Abstract: | This paper introduces the t ec hnique of data mining using the theory of rough set and its application in fault diagnosis of electric power systems.And for a kind of data sets dependent on time sequences,this paper also puts for-ward an algorithm which can discover classification rules based on rough set.The result of the algorithm can reflect the effect which the changes of conditional attributes make on the states of th e systems. |
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| Keywords: | rough set rules acquisition time sequences fault diagn osis |
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