A Non Destructive Reflectometry Based Method for the Location and Characterization of Incipient Faults in Complex Unknown Wire Networks

M. Kafal, Fatme Mustapha, Wafa Ben Hassen, J. Benoit
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引用次数: 9

Abstract

During the last decade, vast efforts have been invested in research and industry to detect soft noncritical faults in wiring networks. Although time domain reflectometry based methods (TDR) have been the center stage of such techniques, the capability of characterizing the located faults was still out of reach. In fact, this is so important as it can potentially enable preventive maintenance well before the fault's deterioration to critical dangerous stages. An assessment of the fault's situation becomes possible thus maximizing the system functionality and safety while minimizing the out-of-service time. In this paper, we will propose an approach based on the tenets of TDR and post-processing techniques, namely baselining and optimization based algorithms, to detect, locate and characterize soft faults embedded in complex networks. More importantly, this will be accomplished using a single testing port of a totally unknown network whose extremities are kept connected to their loads. Numerical as well as practical experimental results will be employed to validate the efficiency of the proposed approach.
基于非破坏性反射法的复杂未知电线网络早期故障定位与表征方法
在过去的十年中,研究和工业投入了大量的精力来检测布线网络中的软非关键故障。虽然基于时域反射的方法(TDR)已经成为这类技术的中心,但对断层定位的表征能力仍然遥不可及。事实上,这是非常重要的,因为它可以在故障恶化到关键危险阶段之前进行预防性维护。对故障情况的评估成为可能,从而最大限度地提高系统的功能和安全性,同时最大限度地减少停机时间。在本文中,我们将提出一种基于TDR原理和后处理技术的方法,即基于基线和优化的算法,来检测、定位和表征嵌入在复杂网络中的软故障。更重要的是,这将使用一个完全未知的网络的单个测试端口来完成,该网络的端点保持与其负载连接。数值和实际的实验结果将用来验证所提出的方法的有效性。
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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