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文章摘要
基于关联分析算法的配电网多级冗余数据校验与挖掘技术研究
Research on Verification and Mining Technology of Multi-level Redundant Data in Power Grid Based on Association Analysis Algorithm
Received:August 30, 2019  Revised:August 30, 2019
DOI：10.19753/j.issn1001-1390.2020.15.011
中文关键词: 冗余数据  数据校验  数据挖掘  关联分析算法
英文关键词: Redundant data, Data verification, Data mining, Association analysis algorithm
基金项目:
Author NameAffiliationE-mail
liguodong* .Electric Power Research Institute of Electric Power Company of Tianjin State Grid xwb19720@163.com 
longhuan Electrical Engineering School, Southeast University, Nanjing hlong@seu.edu.cn 
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中文摘要:
      随着电网的快速建设与发展，电网的设备数据、运行数据以及管理数据等相关业务数据具有规模大、数据结构繁杂的特点，而且数据涉及到电网公司的多个部门、多个系统，彼此之间的数据会出现大量冗余及不一致性。因此，本文基于数据挖掘技术，对配电网多级冗余数据的校验的方法进行了研究，通过对照各项冗余数据与其他基础数据之间的关联关系，建立了数据相关性指标模型及冗余数据校验规则，并基于此对配电网多级冗余数据进行校验；并基于关联分析算法，对缺陷数据的挖掘与分析方法进行了研究。以某省级配电网的设备数据为例，进行了冗余数据的校验及缺陷数据的挖掘与分析，算例结果验证了本文所提方法的有效性及可行性。
英文摘要:
      
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