Network-based small-current grounding system fault line selection method
一种小电流接地、系统故障的技术,应用在网络领域,能够解决不具备可靠性和准确性等问题,达到便于纠错、防止程序出错的效果
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[0021] A network-based method for fault line selection in a small current grounding system, and its processing technology includes the following steps:
[0022] (1) Establish a simulation model of a current-grounded system, simulate the typical characteristics of the system when a single-phase ground fault occurs, obtain the input characteristics of the radial basis function neural network, establish training samples and test samples, and construct a radial basis function neural network , The method for determining the characteristic vector is: when the circuit is in a ground fault, detect the current I and voltage V of the circuit, take the current as the starting point and the voltage as the end point, then the characteristic vector is (I, V);
[0023] (2) Set before adaptive adjustment of the RBF neural network, determine the maximum number of adaptive adjustments M and the allowable error E of adaptive adjustment r , As a condition for the end of adaptive adjustment;
[0024] (3)...
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