主变抗短路关联参数集数据挖掘应用研究
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摘要
提出了一种值域扩展式Apriori算法,通过值域单向扩张,不仅获得连续型参数与变压器抗短路能力的关联规则,同时还得到了关联参数值域的最大范围。
A domain-expanding Apriori algorithm is proposed. Through the one-way expansion of the range, not only the association rules of continuous parameters and transformer anti-short circuit capability are obtained, but also the maximum range of the associated parameter value is provided.
A domain-expanding Apriori algorithm is proposed. Through the one-way expansion of the range, not only the association rules of continuous parameters and transformer anti-short circuit capability are obtained, but also the maximum range of the associated parameter value is provided.
引文
[1]吕齐军,侯先超.主变压器检修技术及缺陷处理建议[J].科技创新与应用, 2017(8):198.
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[8]郑含博,王伟,李晓纲,等.基于多分类最小二乘支持向量机和改进粒子群优化算法的电力变压器故障诊断方法[J].高电压技术, 2014,40(11):3424-3429.
[9]董继明.基于混沌果蝇-最小二乘支持向量机的变压器DGA故障模式预测[J].自动化与仪器仪表, 2016,205(11):221-223.
[10]王有元,周立玮,梁玄鸿,等.基于关联规则分析的电力变压器故障马尔科夫预测模型[J].高压电技术, 2018,44(4):1051-1058.
[11]丁茜.基于关联规则的变压器故障诊断研究[M].北京:华北电力大学, 2009.
[12]李廷顺,谭文,刘泽三.基于大数据智能电网关键技术研究[J].电源技术, 2017,41(8):1195-1197
[13] Agrawal R. Mining Association Rules between Sete of Items in Large Databases[J]. Proc Sigmod, 1993, 22(2):207-216.
[2]谢彬,路晓芸,李晓松,等. 220kV变电站主变低压侧加装限流电抗器限制短路电流的探讨[J].云南电力技术, 2007, 35(10):48-49.
[3]臧利川.基于油中溶解气体分析的变压器状态监测系统研究[D].保定:华北电力大学,2016.
[4]刘亚南,范立新,徐钢,等.基于非负矩阵分解与改进极端学习机的变压器油中溶解气体浓度预测模型[J].高压电器, 2016,52(1):162-168.
[5]张玫.基于进化神经网络的变压器故障预测模型研究[J].能源与节能, 2016,125(2):24-25.
[6] Mohamed A A W. Artificial neural network-based prediction technique for transformer oil breakdown voltage[J]. Electric Power Systems Research, 2004, 71(1):73-84.
[7]陈程,聂德鑫,冯振新,等.基于概率输出支持向量机和证据理论的变压器故障诊断技术[J].变压器,2018, 55(7):58-61
[8]郑含博,王伟,李晓纲,等.基于多分类最小二乘支持向量机和改进粒子群优化算法的电力变压器故障诊断方法[J].高电压技术, 2014,40(11):3424-3429.
[9]董继明.基于混沌果蝇-最小二乘支持向量机的变压器DGA故障模式预测[J].自动化与仪器仪表, 2016,205(11):221-223.
[10]王有元,周立玮,梁玄鸿,等.基于关联规则分析的电力变压器故障马尔科夫预测模型[J].高压电技术, 2018,44(4):1051-1058.
[11]丁茜.基于关联规则的变压器故障诊断研究[M].北京:华北电力大学, 2009.
[12]李廷顺,谭文,刘泽三.基于大数据智能电网关键技术研究[J].电源技术, 2017,41(8):1195-1197
[13] Agrawal R. Mining Association Rules between Sete of Items in Large Databases[J]. Proc Sigmod, 1993, 22(2):207-216.