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State Assessment System of Power Transformer Equipments Based on Data Mining and Fuzzy Theory

机译:基于数据挖掘和模糊理论的电力变压器设备状态评估系统

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The state assessment system of power transformer equipments based on data mining and fuzzy theory is intro duced briefly in this article. The statistics-based association rule mining will be used as data preprocessing method. As sess model of power transformer equipments is created ac cording to standards of Transformation ConditionBased Maintenance equipment which is carried out by State Power Grid on May 1, 2005, test data are treated with fuzzy com prehensive evaluation, then a software platform that in cludes functionality to collect and store experimental data, analyze data and trend, generate assessment report and put forward suggestions on repairing of transformer equipment status is built.
机译:本文简要介绍了基于数据挖掘和模糊理论的电力变压器设备状态评估系统。基于统计的关联规则挖掘将用作数据预处理方法。根据国家电网于2005年5月1日实施的基于“转换条件为基础的维护”设备的标准创建了电力变压器设备的模型,对测试数据进行了模糊综合评估,然后建立了包含功能的软件平台收集和存储实验数据,分析数据和趋势,生成评估报告,并提出了修复变压器设备状态的建议。

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