A defect location method for power cable based on Burg power spectral

Zhirong Tang, Kaihua Zhou, Yun Li, P. Meng
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Abstract

The frequency‐domain reflection (FDR) has been demonstrated to be a trustworthy technique in solving the defect location of power cable by field experiments. However, the location spectrum of the FDR requires manual window smoothing and can be disturbed by spurious peaks. Aiming at these shortcomings of FDR, a new method of cable defect location based on Burg power spectral (BPS) is introduced in this paper. The idea of this method is to use linear difference variance to fit the distribution of reflection coefficient spectrum and build an auto‐regressive (AR) model. The Burg algorithm is employed to estimate the coefficients model and calculate the power distribution of the AR model. Then, the cable defects will be located by BPS with high precision and resolution. In this method, the fast Fourier transform (FFT) with windowed function is replaced by an AR model without windowed function. This suppressed the impact of spurious peaks or spectrum leakage in FFT on the localization defects, and the localization resolution is higher. Finally, we validate the feasibility and effectiveness of BPS through experiments conducted on a 500 m laboratory cable and a 9.6 km submarine cable.
基于伯格功率谱的电力电缆缺陷定位方法
通过现场实验证明,频域反射(FDR)是解决电力电缆缺陷定位问题的可靠技术。然而,频域反射仪的定位频谱需要人工窗口平滑处理,而且会受到杂散峰值的干扰。针对 FDR 的这些缺点,本文介绍了一种基于伯格功率谱(BPS)的电缆缺陷定位新方法。该方法的理念是利用线性差分方差拟合反射系数频谱的分布,并建立一个自动回归(AR)模型。采用 Burg 算法估计系数模型并计算 AR 模型的功率分布。然后,通过高精度和高分辨率的 BPS 定位电缆缺陷。在这种方法中,有窗函数的快速傅立叶变换(FFT)被无窗函数的 AR 模型所取代。这就抑制了 FFT 中的杂散峰值或频谱泄漏对定位缺陷的影响,而且定位分辨率更高。最后,我们通过在 500 米实验室电缆和 9.6 千米海底电缆上进行的实验验证了 BPS 的可行性和有效性。
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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