Network-based low current grounding system fault line selecting 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 fault line selection method for small current grounding systems, the processing technology of which includes the following steps:
[0022] (1) Establish a simulation model of the current grounding system, simulate the typical characteristic quantities when a single-phase ground fault occurs in the system, obtain the input characteristic quantities of the radial basis neural network, establish training samples and test samples, and construct the radial basis neural network , the method of determining the eigenvector is: when the circuit is in a certain 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 eigenvector is (I, V);
[0023] (2) Set the radial basis neural network before adaptive adjustment, determine the maximum number of adaptive adjustments M and the allowable error E of adaptive adjustment r , as the condition for the end of adaptive adjustment; ...
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