【摘要】：針對煤礦高壓電纜局部放電脈沖信號易被井下噪聲干擾從而影響絕緣監(jiān)測準(zhǔn)確性的問題,提出采用小波熵空域相關(guān)算法對信號進(jìn)行去噪。該算法選用小波熵的大小作為噪聲能量閾值,通過改變閾值大小來調(diào)節(jié)局部放電脈沖信號與噪聲之間的相關(guān)性,進(jìn)而識別并去除噪聲。實(shí)驗(yàn)室模擬實(shí)驗(yàn)及現(xiàn)場測試結(jié)果表明,該算法不僅減小了將噪聲誤判為信號的可能性,而且可以很好地消除各尺度系數(shù)中的干擾,很好地保留了局部放電脈沖信號的完整性,提高了煤礦高壓電纜在線絕緣監(jiān)測的準(zhǔn)確性。
[Abstract]:In order to solve the problem that the partial discharge pulse signal of high voltage cable in coal mine is easily interfered by underground noise, which affects the accuracy of insulation monitoring, a wavelet entropy spatial correlation algorithm is proposed to Denoise the signal. In this algorithm, the wavelet entropy is selected as the noise energy threshold, and the correlation between the partial discharge pulse signal and the noise is adjusted by changing the threshold value, and then the noise is identified and removed. The results of laboratory simulation and field test show that the algorithm not only reduces the possibility of misjudging noise into signal, but also eliminates the interference in each scale coefficient, and preserves the integrity of partial discharge pulse signal. The accuracy of on-line insulation monitoring of high voltage cable in coal mine is improved.
【作者單位】： 焦作大學(xué)信息工程學(xué)院;
【基金】：河南省科技攻關(guān)計(jì)劃項(xiàng)目(092102210356)
【分類號】：TD611

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