Classification of Transformer Faults Using Wavelet Based Entropy
نویسندگان
چکیده
This paper presents Wavelet based approach for power transformer faults classification. Wavelet transform is applied to extract the features from the raw signal. An entropy based method is proposed to classify the faults. This entropy based method reduces the size of the input features without losing the characteristics of the signal. The data required to develop the algorithm are generated by simulating various faults in MATLAB simulink. The simulation results show that the proposed method provides a robust and accurate method for power transformer faults classification.
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تاریخ انتشار 2013