基于双EEMD与重构的局部放电时延估计方法

Time delay estimation of partial discharge based on dual EEMD and reconstruction

对室内电气设备的局部放电检测与定位是保障设备长期稳定运行的有效手段,而时延估计精度是影响局部放电检测与定位准确度的重要因素。为解决局部放电信号在噪声及多径效应影响下的时延估计精度问题,本文提出了一种基于双集合经验模态分解(ensemble empirical mode decomposition,EEMD)与重构的局部放电信号预处理方法。模拟仿真与实验测试结果表明,本文所提出的方法与广义互相关算法相比有效提高了时延估计准确度,且稳定性与鲁棒性更好。本文所提方法有效提高了局部放电信号的信噪比(signal-to-noise ratio,SNR)以及时延估计算法的精度,可用于低SNR及多径效应明显的室内环境中局部放电信号的时延精确估计。

Partial discharge detection and localization of indoor electrical equipment is an effective means to ensure the long-term stable operation of the equipment,and the time-delay estimation accuracy is an important factor affecting the accuracy of partial discharge detection and localization.In order to solve the problem of delay estimation accuracy of partial discharge signal under the influence of noise and multipath effect,this paper proposes a partial discharge signal preprocessing method based on double ensemble empirical mode decomposition(EEMD)decomposition and reconstruction,which effectively improves the signal-to-noise ratio of the partial discharge signal and the accuracy of the delay estimation algorithm.Simulation and experimental test results show that the proposed method is more stable and robust and can effectively improve the delay estimation accuracy compared with the generalized mutual correlation algorithm.The proposed method is used for the accurate estimation of partial discharge signal delay in indoor environments with low signal-to-noise ratio and obvious multipath effect.