基于滑动窗奇异值分解的局部放电信号检测方法

在局部放电信号检测过程中，局部放电信号幅值小，易受到噪声干扰，导致低信噪比下局部放电信号检测与波形恢复难度大。本文提出了基于滑动窗奇异值分解的局部放电信号检测方法。该方法利用噪声干扰信号与局部放电信号奇异值的差异性，通过滑动窗分段处理，建立奇异值差值序列，达到降噪与还原局部放电信号的目的。仿真与实测结果表明，本文方法在抑制噪声干扰和还原局部放电信号方面相比传统方法更具优势，且稳定性更好，适合在混合噪声干扰下实现对实测局部放电信号的检测和波形恢复。

PD Signal Detection Based on Sliding Window Singular Value Decomposition

In the process of partial discharge signal detection due to the small amplitude of partial discharge which is easy to be interfered by noise, it is difficult to detect partial discharge signal and restore waveform under low signal-to-noise ratio. In this paper, a partial discharge signal detection method based on sliding window singular value decomposition is proposed. The method utilizes the difference between the noise interference signal and the singular value of the partial discharge signal, then establishes the singular value difference sequence through the sliding window segmentation processing to achieve the purpose of noise reduction and restoration of the partial discharge signal. The simulation and measurement results show that the proposed method has more advantages than traditional methods in suppressing noise interference and restoring partial discharge signals, and has better stability. It is suitable for the detection and waveform recovery of measured partial discharge signals under mixed noise interference.