CAJ | 학술논문

针对变压器振动信号呈现非平稳、非线性的特点，提出将经验模式分解（EMD）与加权一阶局域法相结合，实现对变压器振动信号的趋势预测。首先，将现场采集到的振动信号进行经验模式分解，然后应用相空间重构理论。确定合适的时间延迟和嵌入维数对各固有模式函数进行相空间重构。随后采用加权一阶局域法对振动信号各分量进行预测、合并。实验结果表明，该方法能够准确预测变压器振动信号变化趋势，可对变压器运行状态进行有效的监测。
침대변압기진동신호정현비평은、비선성적특점，제출장경험모식분해（EMD）여가권일계국역법상결합，실현대변압기진동신호적추세예측。수선，장현장채집도적진동신호진행경험모식분해，연후응용상공간중구이론。학정합괄적시간연지화감입유수대각고유모식함수진행상공간중구。수후채용가권일계국역법대진동신호각분량진행예측、합병。실험결과표명，해방법능구준학예측변압기진동신호변화추세，가대변압기운행상태진행유효적감측。
The transformer vibration signal has the characteristics of being non-stationary and non-linear. This paper proposes combining the empirical mode decomposition（EMD） with adding-weight one-rank local-region method to predict the trend of the transformer vibration signal. First, the vibration signal collected at the scene is decom- posed by the empirical mode. Then the phase space reconstruction theory is adopted to determine the appropriate time delay and embedding dimension for each intrinsic mode function of phase space reconstruction. After that, the adding-weight one-rank local-region method is used to predict and merge the components of the vibration signal. The experimental results show that this method can accurately predict the transformer vibration signal＇s change in trends and effectively monitor the transformer＇s running state.