矿用高压电缆局部放电信号去噪方法

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中图分类号：TD61 文献标志码：A

Abstract：Currently，partial discharge （PD） signalsofhigh-voltage miningcablesare easily buried in noise anddifficult toextract.VariationalModeDecomposition（VMD）isanefectivemethodforPDdenoising，butthe numberof decomposition layersand penalty factorof the VMDalgorithmare dificult to determine.To address this problem，a denoising method forPD signals of high-voltage mining cables based on Adaptive Spiral Flying Sparow Search Algorithm （ASFSSA）-VMD-KSVD was proposed.ASFSSA was used to optimize VMD，and a chaotic mapping strategy was utilized to make the population distribution more uniformand avoid falling into local optima.A series of intrinsic mode functions （IMF）were obtained through VMD，and the Composite Multiscale Fuzzy Dispersion Entropy（CMFDE）was then used to screen the properties of IMF components， dividing them into signal-dominated components and noise-dominated components.Forscreened noise-dominated components，training samples were constructed for KsVD dictionary learning，and noise was further suppressed through sparse coding and dictionary updating.The processedcoefficients were reconstructed，and the signal blocks were superimposed to obtain the denoised signal.The denoising performance was evaluated using Signalto-Noise Ratio （SNR）， Root Mean Square Error （RMSE），and Normalized Cross-Correlation （NCC）. The experimental results showed that under diffrent SNR conditions，the SNR after denoising using the ASFSSA algorithm was much higher than that of the GWO and IWOA algorithms，demonstrating a significant advantage in noise suppression. The RMSE after denoising using the ASFSSA algorithm was much smaller than that of the Grey Wolf Optimization （GWO） and Improved Whale Optimization Algorithm （IWOA） algorithms， indicating the smallest difference between the true and predicted values during denoising. The NCC after denoising using the ASFSSA algorithm was very close to 1， showing excellent waveform similarity.

Key words： partial discharge； variational mode decomposition； adaptive spiral flying sparrow searchcomposite multiscale fuzzy dispersion entropy; KsVD dictionary learning

0引言

矿用电缆是煤矿、金属矿等矿山生产中电力传输、信号通信的核心设备，其稳定运行直接关系到矿山的安全生产和高效运营。（剩余14086字）