基于振动信号的电力变压器铁心状态监测方法研究  

Research on Monitoring Method of Core State of Power Transformer Based on Vibration Signal

作　　者：蔚超 WEI Chao(State Grid Jiangsu Electric Power Co.LTD.,Research Institute,Nanjing 211103,China;School of Electrical Engineering,Southeast University,Nanjing 210096,China)

机构地区：[1]国网江苏省电力有限公司电力科学研究院,南京211103 [2]东南大学电气工程学院,南京210096

出　　处：《电子器件》2020年第1期152-156,共5页Chinese Journal of Electron Devices

基　　金：国家科技支撑项目(2013BAA02B01);国家电网公司科技项目(NY71-15-042)。

摘　　要：传统的电力变压器状态监测容易受到干扰影响而导致精度差,不能满足实际工程需求。通过对变压器铁心振动信号进行快速本征模态分解(FIMD),得到一组能够反应铁心压紧力的固有特征模式函数,并利用希尔伯特(Hilbert)变换对其进行频谱分析来求得铁心压紧力的固有特征矢量,并计算对应的特征矢量长度值,实现对电力变压器铁心状态的在线监测。试验证明,所提测试方法能够精确地实现铁心压紧力固有特征矢量,具有较高的监测精度。The traditional power transformer condition monitoring is easily affected by interference,resulting in poor accuracy and cannot meet actual engineering requirements.By performing a fast intrinsic mode decomposition(FIMD)on the vibration signal of the transformer core,one obtains a set of intrinsic characteristic mode functions capable of reacting the core pressing force,and performs spectrum analysis using Hilbert transform.The intrinsic feature vector of the core pressing force is obtained,and the corresponding feature vector length value is calculated,thereby realizing online monitoring of the state of the power transformer core.The test proves that the proposed test method can accurately realize the inherent feature vector of the core pressing force and has high monitoring accuracy.

关 键 词：变压器铁心 振动信号 FIMD HILBERT变换 状态监测 

分 类 号：TM41[电气工程—电器] TN911.23[电子电信—通信与信息系统]