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Inverse features extraction for substation grounding grid: derivative and ICA combinatorial approach

机译:变电站接地网反特征提取:导数和ICA组合方法

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摘要

Optimising the orientation of the unknown grounding grid is effective to measure its accurate configuration. On the other hand, burial depth and conductors' current are essential for the status diagnosis of grounding grid. This study employs the derivative method to determine the above-grounding grid characteristics without excavation. Surface magnetic flux density after the current injection process is subjected to derivative on the circle. The orientation of the grounding grid is accurately measured from the location of gradient peaks. Moreover, the grounding grid depth and conductors current are calculated from peaks width and peak value. The problem of substation intense electromagnetic environment that readily distorts the results of the proposed method is also addressed. Blind source separation famous technique, the fast independent component analysis (FastICA), is utilised to separate the original signal from the mixed signal. Furthermore, the authors also probe the influence of circle radius for the alarming case of a diagonal conductor. Mathematical reasoning, simulation, and experimental results illustrate that the proposed method is feasible to find the inverse features of grounding grid. Furthermore, the signal recovered through FastICA delivers results with high accuracy.
机译:优化未知接地网格的方向可有效地测量其准确配置。另一方面,埋入深度和导体电流对于接地网的状态诊断至关重要。本研究采用导数法确定了未开挖的地上网格特征。电流注入过程后的表面磁通密度在圆上求导。可以根据梯度峰的位置来准确测量接地网的方向。此外,接地网的深度和导体电流是根据峰的宽度和峰值来计算的。还解决了变电站强烈的电磁环境容易使所提出的方法的结果失真的问题。盲源分离的著名技术,快速独立分量分析(FastICA),用于从混合信号中分离出原始信号。此外,作者还探讨了圆半径对于对角导体的报警情况的影响。数学推理,仿真和实验结果表明,该方法对于寻找接地网的反特征是可行的。此外,通过FastICA恢复的信号可提供高精度的结果。

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