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Automatic discrimination system of partial discharge signal using fuzzy filtered synapse network

机译:基于模糊滤波突触网络的局部放电信号自动判别系统

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摘要

Partial discharge (PD) measurement has be carried out for verification of extra-high voltage XLPE cable lines, and has needed long duration. Corresponding to the long-term measurement, the authors developed automatic-discrimination system of partial discharge signal using fuzzy filtered synapse (FFS) network. FFS network has many advantages over the conventional neural network (back propagation method), such as faster leaning speed, easier understanding of the learning result and so on. The outline of FFS network, signal process of automatic-discrimination, and results of verification test of automatic-discrimination system is described in this paper.
机译:已进行局部放电(PD)测量以验证超高压XLPE电缆线路,并且需要较长的时间。对应于长期测量,作者开发了使用模糊滤波突触(FFS)网络的局部放电信号自动判别系统。与传统的神经网络(反向传播方法)相比,FFS网络具有许多优势,例如更快的学习速度,更容易理解学习结果等。本文描述了FFS网络的概况,自动判别的信号过程以及自动判别系统的验证测试结果。

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