基于改进灰关联分析模型的研究及在变压器故障诊断中的应用  

Research Based on Improved Grey Relational Analysis Model and Its Application in Transformer Fault Diagnosis

作　　者：李新原 余亮亮 于文海 胡斐 图尔荪·依明 康宁 LI Xin-yuan;YU Liang-liang;YU Wen-hai;HU Fei;Tu Er Sun·Yi Ming;KANG Ning(State Grid Urumqi Power Supply Company,Urumqi 830000,China)

机构地区：[1]国网乌鲁木齐供电公司,新疆乌鲁木齐830000

出　　处：《变压器》2022年第3期37-40,共4页Transformer

摘　　要：针对电力变压器发生故障时的气体特征,本文中笔者提出了一种基于改进的灰关联分析模型用于电力变压器故障诊断模型。该模型充分利用了电力变压器油中气体数据的全部信息,且发挥了灰关联度适用于小样本、贫信息系统的优势,避免了局部关联和信息损失的缺陷,最后通过实例验证该方法的可行性。Based on the gas characteristics of power transformer failure, an improved grey relational analysis model is proposed for power transformer fault diagnosis model. The model makes full use of all the information of gas data in power transformer oil, and gives full play to the advantage of grey relational degree applicable to small sample and poor information system, avoiding the defects of local correlation and information loss. Finally, the feasibility of the method is verified by an example.

关 键 词：灰关联分析 油中溶解气体 电力变压器 故障诊断 

分 类 号：TM406[电气工程—电器]