Abstract
Based on the summary of the possible disturbances during the detection of the partial discharge (PD) pulses and the relative denoising methods, an improved model of integrative denoise in PD monitoring is proposed. In the model, the analysis of disturbances existed in a specific site is emphasized, which will help to make the denoising measures more efficient and flexible. The denoising result to the measured signal in the lab indicates that it is possible to extract PD signals effectively and hold the most information of the PD pulses, which may be helpful to analyze the PD signals deeply and build a fine fingerprint library, and then improve the classification and recognition of the PD signals.
Published Version
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