基于混沌时域反射技术的电力电缆绝缘缺陷检测方法

Detection Method of Power Cable Insulation Defect Based on Chaotic Time Domain Reflectometry

为提高电力电缆绝缘缺陷检测的精度,提出一种基于混沌时域反射技术的电力电缆绝缘缺陷检测方法。采用变分模态分解方法将噪声信号在不同的模态分量中分解,通过自适应小波包分解将电力电缆信号分解在高低频分量中,使用阈值法将不含有局部信号的分量过滤处理,完成信号去噪处理。信号经过去噪处理后,通过混沌时域反射技术将电力电缆信号划分为参考信号和探测信号,根据信号和电力电缆绝缘位置故障点的反射信号完成采样处理,在相关峰的时间延迟以及幅值信息中获取缺陷发生的位置,判断故障类型,进而实现电力电缆绝缘缺陷检测。经实验测试结果表明,所提方法可以全面提升检测结果的准确性。

In order to improve the detection accuracy of power cable insulation defects,a detection method of power cable insulation defects based on chaotic time domain reflectometry is proposed.The noise signal is decomposed in different modal components by variational modal decomposition method,the power cable signal is decomposed in high and low frequency components by adaptive wavelet packet decomposition,and the component without local signal is filtered by threshold method to complete signal denoising.After the signal is denoised,the power cable signal is divided into reference signal and detection signal by chaotic time-domain reflectometry.The sampling processing is completed according to the signal and the reflection signal of the fault point of the power cable insulation position.The location of the defect is obtained from the time delay and amplitude information of the correlation peak,and the fault type is judged so as to realize the detection of power cable insulation defects.The experimental results show that the proposed method can comprehensively improve the accuracy of the detection results.