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大数据挖掘分析在电力设备状态评估中的应用
引用本文:宫宇,吕金壮.大数据挖掘分析在电力设备状态评估中的应用[J].南方电网技术,2014,8(6):74-77.
作者姓名:宫宇  吕金壮
作者单位:中国南方电网超高压输电公司,广州510663;中国南方电网超高压输电公司,广州510663
基金项目:国家高技术研究发展计划(863计划)(2012AA050209)。
摘    要:为提高电力设备状态评估的准确性和效率,提出了将大数据挖掘分析应用于电力设备状态评估的思路和方法。介绍了大数据挖掘分析的架构,将电力设备状态的多维度数据解析为静态、动态、准动态和外部参数四大类,分析了数据关联规则、关联度和权重,最后给出了大数据挖掘分析技术的应用前景。

关 键 词:电力设备状态评估  多维度数据  大数据挖掘  关联分析

Application of Big Data Mining Analysis in Power Equipment State Assessment
GONG Yu and LV Jinzhuang.Application of Big Data Mining Analysis in Power Equipment State Assessment[J].Southern Power System Technology,2014,8(6):74-77.
Authors:GONG Yu and LV Jinzhuang
Affiliation:EHV Power Transmission Company, CSG, Guangzhou 510663, China;EHV Power Transmission Company, CSG, Guangzhou 510663, China
Abstract:To improve the accuracy and efficiency of the power equipment condition assessment, a big data mining analysis method is proposed to evaluate the power equipment condition The structure and phases of big data mining analysis are introduced.Multi-dimensional data in power equipment conditions are categorized into four types as static, dynamic, quasi dynamic and exterior parameters.The basic rules in data association rule, association ratio and weight are analyzed.The trend of big data mining analysis towards power equipment condition assessment is put forward.
Keywords:power equipment condition assessment  multi dimensional data  big data mining  Correlation Analysis
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