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首页> 外文期刊>Measurement Science & Technology >Wavelet packet denoising for online partial discharge detection in cables and its application to experimental field results
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Wavelet packet denoising for online partial discharge detection in cables and its application to experimental field results

机译：用于电缆在线局部放电检测的小波包去噪及其在实验结果中的应用

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摘要

Partial discharge measurements taken online are severely corrupted by noise due to external disturbances. In this paper a powerful noise reduction technique, based on a wavelet packet denoising algorithm, is employed to isolate the signals from the noise. This methodology enables the denoising of partial discharges that are heavily corrupted by noise without assuming any a priori knowledge about the partial discharge features. A brief description of the wavelet packet theory as an extension of the multi-resolution analysis is given. Results of the application of this algorithm to simulated data of low signal-to-noise ratio are presented, demonstrating substantial improvement in signal recovery with minimum shape distortion. Finally, the capability of this technique is highlighted by applying it to experimental field data taken from three-phase 11 kV cables.
机译：在线进行的局部放电测量会由于外部干扰而被噪声严重破坏。本文采用基于小波包去噪算法的强大降噪技术，将信号与噪声隔离。该方法使得能够对被噪声严重破坏的局部放电进行去噪，而无需假设任何有关局部放电特征的先验知识。给出了小波包理论的简要描述，作为多分辨率分析的扩展。给出了将该算法应用于低信噪比的模拟数据的结果，证明了在信号恢复方面的实质性改进，形状失真最小。最后，将该技术应用于从11 kV三相电缆中获得的实验现场数据，从而突出了该技术的功能。

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