Abstract
In this paper, the big data analysis method is applied to the analysis of the factors affecting the DC magnetic bias of the transformer. The improved k-means clustering algorithm is used to identify the different magnetic reasons. The weighted relevance analysis is used to evaluate the influence of different factors on the magnetic current. Finally, the correctness of the method is verified by an example analysis, thus providing an effective basis for “one-button sequence control” DC magnetic bias treatment.
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