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数据挖掘技术在变压器故障分析中的应用研究

Application Research of Data Mining Technology used in Transformer Fault Analysis
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摘要 测定绝缘油中溶解气体的组成含量,是发电设备判断运行中变压器是否存在潜伏性故障的有力依据,是保障水电厂安全有效运行的有效手段。本文提出了基于数据挖掘算法的变压器故障分析诊断模型,阐述变压器绝缘油产生气体与故障类型之间的关联关系,为变压器故障分析提供参考依据。 Determinate the composition content of dissolved gases in the insulating oil, which is a strong basis for the operation of power plant transformer judge whether there is latent failures, which is a effective means to ensure safe and efficient operation of Hydropower. This paper presents the analysis of Transformer fault diagnosis model which is based on Data mining algorithm, elaborate relationship between gas which is produced by Transformer insulating and fault type, To provide a reference for the transformer fault analysis.
作者 姜鑫
出处 《可编程控制器与工厂自动化(PLC FA)》 2015年第9期92-94,共3页 Programmable controller & Factory Automation(PLC & FA)
关键词 关联规则 故障诊断 数据挖掘 Association Rules Fault diagnosis Data mining
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