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利用数据挖掘的绝缘油色谱分析故障建模初探
引用本文:黄海鹏,周志成,何俊佳,刘晓津.利用数据挖掘的绝缘油色谱分析故障建模初探[J].高电压技术,2004,30(5):20-22.
作者姓名:黄海鹏  周志成  何俊佳  刘晓津
作者单位:佛山市供电公司,佛山,528000;华中科技大学电气与电子工程学院,武汉,430074
摘    要:利用DataCruncher数据挖掘工具对变压器油色谱分析结果进行数据挖掘处理和故障模型建立 ,给出了油中溶解气体体积分数及其组合参数与变压器故障是否存在之间的关联关系。所建模型预测故障的结果证明与三比值法吻合 ,并能预测无三比值编码的故障 ,故障预测准确率较高

关 键 词:气相色谱分析  油中溶解气体分析  数据挖掘模型
修稿时间:2003年10月22

FAULT MODEL CONSTRUCTION BASED ON GAS CHROMATOGRAPHY OF INSULATION OIL BY MINING TECHNIQUE
Huang Haipeng ,Zhou Zhicheng ,He Junjia ,Liu Xiaojin.FAULT MODEL CONSTRUCTION BASED ON GAS CHROMATOGRAPHY OF INSULATION OIL BY MINING TECHNIQUE[J].High Voltage Engineering,2004,30(5):20-22.
Authors:Huang Haipeng  Zhou Zhicheng  He Junjia  Liu Xiaojin
Affiliation:Huang Haipeng 1,Zhou Zhicheng 2,He Junjia 2,Liu Xiaojin 2
Abstract:By data cruncher, the gas chromatography data of transformers are processed and mined. The fault model is constructed. The relationship among the contents of the dissolved characteristic gases, other combined parameters and the occurrence of fault in transformers is formulated. It is proved that by this model it can give high precession of prediction in fault diagnosis. The predicted result is agreement with the three rates method.
Keywords:gas chromatography analysis dissolved gas analysis(DGA) data mining model
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