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ANNs pinpoint underground distribution faults

机译:人工神经网络查明地下配电断层

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摘要

Online fault location in underground power distribution networks that involve interconnected lines (cables) and multiterminal sources continues to receive great attention, with limited success in techniques that would provide simple and practical solutions. This article features a new online fault location technique that: uses the pattern recognition feature of artificial neural networks (ANNs); and utilizes new capabilities of modern protective relaying hardware. The output of the neural network can be graphically displayed as a simple three-dimensional chart that can provide an operator with an instantaneous indication of the location of the fault.
机译:在涉及互连线(电缆)和多终端电源的地下配电网络中,在线故障定位一直受到广泛关注,但在提供简单实用解决方案的技术方面,成功的局限性有限。本文介绍了一种新的在线故障定位技术,该技术:使用人工神经网络(ANN)的模式识别功能;并利用了现代保护继电器硬件的新功能。神经网络的输出可以图形化显示为简单的三维图表,可以为操作员提供故障位置的即时指示。

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