计算机与数字工程Issue(9)：2369-2374,6.DOI:10.3969/j.issn.1672-9722.2019.09.052
基于数据挖掘的电网故障关联规则的研究∗
Research on Power Grid Fault Association Rules based on Data Mining
摘要
Abstract
Good fault identification of power grid is helpful to speed up the process of electric power recovery and improve the reliability of the system. However,the unbalance of data in reality often leads to a decline in fault recognition performance. This pa?per extends on the basis of the fuzzy classification algorithm to mitigate the influence of imbalanced data composition and is applied to fault cause identification. Compared with artificial neural network,the algorithm has better performance in dealing with unbal?anced data.关键词
数据挖掘/电网故障/模糊分类/关联规则/神经网络Key words
data mining/power grid fault/fuzzy classification/association rules/neural network分类
信息技术与安全科学引用本文复制引用
彭刚,唐松平,曾力,肖云..基于数据挖掘的电网故障关联规则的研究∗[J].计算机与数字工程,2019,(9):2369-2374,6.基金项目
南网科技项目(编号:031300KK52150019)资助. （编号:031300KK52150019）
