Network-based small-current grounding system fault line selection method
A small current grounding and system failure technology, applied in the network field, can solve problems such as lack of reliability and accuracy, and achieve the effect of facilitating error correction and preventing program errors
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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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