Sensitivity analysis of residuals for soft fault monitoring in Y-shaped networks

A. Karim, V. Degardin, V. Cocquempot
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Abstract

Networks, mainly composed of cables, are prone to failures. Faults in cables are initially benign (so-called soft faults) and then evolve over time to a much more severe form of faults as short or open circuits (so-called hard faults). It is thus of prime importance to detect and localize efficiently the soft faults. Residuals may be calculated by comparing online computed transmission coefficients with reference transmission coefficients. In this paper, the sensitivity of the residuals with respect to the fault is studied for a simulated but realistic Y-shaped network. The residuals are represented in the residuals space. Using intensive simulations, the residuals are analyzed with respect to the position of the fault in a branch, the severity of the fault and the signal-to-noise ratio.
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y型网络软故障监测残差灵敏度分析
主要由电缆组成的网络容易出现故障。电缆故障最初是良性的(所谓的软故障),然后随着时间的推移演变成更严重的故障形式,如短路或开路(所谓的硬故障)。因此,对软故障进行有效的检测和定位是至关重要的。残差可以通过比较在线计算的透射系数和参考透射系数来计算。本文研究了一个模拟但真实的y型网络的残差对故障的敏感性。残差在残差空间中表示。通过密集仿真,分析了残差与故障在支路中的位置、故障的严重程度和信噪比的关系。
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