煤矿高压电缆局部放电脉冲信号去噪研究
发布时间：2019-05-24 00:19
【摘要】：针对煤矿高压电缆局部放电脉冲信号易被井下噪声干扰从而影响绝缘监测准确性的问题,提出采用小波熵空域相关算法对信号进行去噪。该算法选用小波熵的大小作为噪声能量阈值,通过改变阈值大小来调节局部放电脉冲信号与噪声之间的相关性,进而识别并去除噪声。实验室模拟实验及现场测试结果表明,该算法不仅减小了将噪声误判为信号的可能性,而且可以很好地消除各尺度系数中的干扰,很好地保留了局部放电脉冲信号的完整性,提高了煤矿高压电缆在线绝缘监测的准确性。
[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.
【作者单位】： 焦作大学信息工程学院;
【基金】：河南省科技攻关计划项目(092102210356)
【分类号】：TD611
本文编号：2484381
[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.
【作者单位】： 焦作大学信息工程学院;
【基金】：河南省科技攻关计划项目(092102210356)
【分类号】：TD611
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