基于振动检测技术的电力变压器故障概率预测模型  

Probability Prediction Model of Power Transformer Fault Based on Vibration Detection Technology

作　　者：邓军 孟杰[2] 潘志城 谢志成 张占龙[3] 武雍烨 DENG Jun;MENG Jie;PAN Zhi-cheng;XIE Zhi-cheng;ZHANG Zhan-long;WU Yong-ye(Maintenance&Test Center of EHV Power Transmission Company,China Southern Power Grid,Guangzhou 510000,China;Xinjiang Transformer Factory,TBEA Co.,Ltd.,Changji 831100,China;State Key Laboratory of Power Transmission Equipment&System Security and New Technology,Chongqing University,Chongqing 400030,China)

机构地区：[1]中国南方电网有限责任公司超高压输电公司检修试验中心,广东广州510000 [2]特变电工股份有限公司新疆变压器厂,新疆昌吉831100 [3]重庆大学输配电装备及系统安全与新技术国家重点实验室,重庆430030

出　　处：《变压器》2020年第11期37-40,68,共5页Transformer

摘　　要：针对电力变压器的故障概率预测问题,提出了一种基于振动检测技术的电力变压器故障率预测模型,根据电力变压器的振动特性引入振动检测技术,设计了相应的振动监测系统对电力变压器故障进行诊断。Aiming at the problem of power transformer fault probability prediction,a power transformer fault rate prediction model based on vibration detection technology is proposed.The vibration detection technology is introduced according to the vibration characteristics of power transformer,and the corresponding vibration monitoring system is designed to diagnose the power transformer fault.

关 键 词：电力变压器 故障概率 预测模型 振动检测技术 

分 类 号：TM406[电气工程—电器]