PD测量中基于小波去噪的最佳采样率

Conference Record of the 2004 IEEE International Symposium on Electrical Insulation Pub Date : 2004-09-19 DOI:10.1109/ELINSL.2004.1380494

X. Zhou, C. Zhou, B. Stewart, A. Nesbitt

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引用次数: 4

摘要

从噪声过大的环境中提取局部放电脉冲一直是局部放电在线测量的关键问题。小波变换作为一种强大的数学工具，在PD测量降噪中已被证明是有效的。本文提出了一种以最优采样率实现小波变换降噪效果的方法。在小波分析中揭示了采样率与频带的关系，并对比了PD信号和白噪声沿分解层次的分布。在不同的采样率下，对浸在白噪声中的窄带探测器产生的一组3个PD脉冲进行了处理，验证了该方法的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Optimal sampling rate for wavelet-based denoising in PD measurement

Extracting PD pulses from excessively noisy environment has been a crucial issue in PD on-line measurement. DWT as a powerful mathematical tool has proven its effectiveness in PD measurement denoising. The paper presents a method on how to achieve an improved denoising effect at an optimal sampling rate in DWT. It reveals the relationship between the sampling rate and the frequency band in wavelet analysis and contrasts the distribution of a PD signal and white noise along the decomposition levels. A set of 3 PD pulses produced by a narrow band detector immersed in white noise are processed at different sampling rates to verify the effectiveness of the proposed method.

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Conference Record of the 2004 IEEE International Symposium on Electrical Insulation

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