| 基于特征挖掘的电网故障诊断方法 |
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| 引用本文： | 李再华,白晓民,周子冠,许婧,李晓珺,张霖,孟珺遐,朱宁辉.基于特征挖掘的电网故障诊断方法[J].中国电机工程学报,2010(10). |
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| 作者姓名： | 李再华 白晓民 周子冠 许婧 李晓珺 张霖 孟珺遐 朱宁辉 |
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| 作者单位： | 中国电力科学研究院; |
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| 基金项目： | 国家重点基础研究发展计划资助项目(973项目)(2004CB217904)~~ |
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| 摘 要： | 专家系统在应用方面的主要瓶颈是:规则库的维护;推理的速度和准确度的协调。分析了故障信息序列中必有或特有的信息,提出了基于特征挖掘的关联规则挖掘方法。结合电网故障信息的特征,改进了频繁模式(frequent pattern,FP)–算法:考虑了故障信息的特征,如时序和因果关联关系、故障性质、严重故障、稀有故障等因素;增加了规则的或逻辑;改进了FP-树的修剪技术。算例表明该算法能够大量减少无效挖掘,推理速度和准确度显著提高,适用于在线诊断。
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| 关 键 词： | 数据挖掘 关联规则 特征挖掘 频繁模式–算法 故障诊断 专家系统 |
Method of Power Grid Fault Diagnosis Based on Feature Mining |
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| LI Zai-hua,BAI Xiao-min,ZHOU Zi-guan,XU Jing,LI Xiao-jun,ZHANG Lin,MENG Jun-xia,ZHU Ning-hui.Method of Power Grid Fault Diagnosis Based on Feature Mining[J].Proceedings of the CSEE,2010(10). |
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| Authors: | LI Zai-hua BAI Xiao-min ZHOU Zi-guan XU Jing LI Xiao-jun ZHANG Lin MENG Jun-xia ZHU Ning-hui |
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| Affiliation: | LI Zai-hua,BAI Xiao-min,ZHOU Zi-guan,XU Jing,LI Xiao-jun,ZHANG Lin,MENG Jun-xia,ZHU Ning-hui (China Electric Power Research Institute,Haidian District,Beijing 100192,China) |
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| Abstract: | The two main bottlenecks in the application of expert system are: the maintenance of rule base; the coordination of speed and accuracy of reasoning. Features and key events of fault events were analyzed, then a novel method of association rule mining based on feature mining was presented, the method was originated from frequent pattern (FP)-algorithm and was improved. The improvements include: features of fault information are utilized, such as the time sequence and causality of events, fault type and serio... |
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| Keywords: | data mining association rule feature mining frequent pattern (FP)-algorithm fault diagnosis expert system |
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