Partial Discharge Pattern Classification Based on Fuzzy Signatures

The presence of partial discharge pattern in medium voltage overhead lines with covered conductors may indicate insulation fault, rupture or downfall of the line. These failures can cause problems in the electrical energy distribution to customers. This paper focuses on the detecting and classification of the partial discharge patterns. The presented method transform a captured input data into fuzzy signatures. This allows us to deal with the captured data as regular text documents. The obtained fuzzy signatures are used in the classification phase using k-NN. The proposed method can correctly classify the captured data up to 76% of accuracy.

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