| 氧化锌避雷器在线监测泄漏电流信号去噪研究 |
投稿时间：2021-06-21 修订日期：2021-07-26  点此下载全文 |
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| 中文摘要:泄漏电流能有效反映氧化锌避雷器的运行状态,但泄漏电流存在的大量噪声及其自身的非平稳特性给泄漏电流的去噪带来了很大的困难。为更有效地去除泄漏电流中的噪声成分,从而更有利于氧化锌避雷器的在线监测,本文利用改进S变换在信号时频分布处理方面的优良特征,提出了一种基于改进S变换的泄漏电流二维时频去噪方法。为更好地评估泄漏电流信号的去噪效果,本文提出了波峰陡度值和平均幅值两个新的评估指标,利用不同噪声强度下的泄漏电流去噪对比试验表明了本文去噪方法的优越性。本文研究成果能为氧化锌避雷器的泄漏电流去噪及其在线监测提供有效的参考和指导。 |
| 中文关键词:氧化锌避雷器 S变换 泄漏电流 在线监测 去噪 |
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| Research on the On-line Monitoring Leakage Current Signal Denoising ofZinc Oxide Arrester |
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| Abstract:The leakage current can reflect the operating state of zinc oxide arrester effectively, but the noise of leakage current and its non-stationary characteristics make it very difficult to denoise the leakage current. In order to remove the noise component in the leakage current more effectively, so it is more conducive to the on-line monitoring of zinc oxide arrester, this paper makes use of the excellent characteristics of improved S transform in time - frequency analysis, a two- imensional time-frequency denoising method based on improved S transform is proposed. In order to better evaluate the denoising effect of leakage current signal, two new evaluation indexes of wave crest steepness value and mean amplitude value are proposed, comparison experiments of leakage current denoising under different noise intensities show the superiority of the proposed denoising method. The research results of this paper can provide effective reference and technical guidance for leakage current denoising and on-line monitoring of zinc oxide arrester. |
| keywords:zinc oxide arresters S transform leakage current on-line monitoring denosing |
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