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As an important equipment of power transmission and transformation, power transformer plays a direct role on the reliability of power supply. Considering the low proportion of power transformer fault data and the overlap boundary with normal data, an imbalance measurement of cluster size is introduced and a power transformer state assessment based on rough fuzzy k-means clustering is proposed. The developed method can not only judge the type of fault that has occurred, but also predict the possible future faults of power transformers. The effectiveness of the designed method is verified by experimental comparative analysis.

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