A dynamic detection method for distribution transformer faults based on aoelm
A technology for distribution transformers and transformer faults is applied in the field of dynamic detection of low-voltage transformer faults in distribution networks based on active online extreme learning machines. Distributed drift characteristics and other problems, to achieve the effect of solving the active online dynamic update capability, reducing the fault false alarm rate, and ensuring the detection accuracy rate
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[0041] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0042] The purpose of the present invention is to provide a dynamic detection method for distribution transformer faults based on AOELM to solve the problem that existing static detection methods for transformer faults do not have active online dynamic update capabilities and cannot adapt to the data distribution drift characteristics in the time-varying process problems, and further reduce the false positive rate of faults while ensuring the accuracy of fault ...
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