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Differential Protection of Power Transformers Using Discrete Wavelet Transform and Convolutional Neural Network by na023657 is a document available to read on EtoBox.

What is Differential Protection of Power Transformers Using Discrete Wavelet Transform and Convolutional Neural Network about?

This research paper proposes a hybrid approach for the differential protection of power transformers using Discrete Wavelet Transform (DWT) and Convolutional Neural Network (CNN). The method aims to enhance fault detection accuracy by effectively classifying current conditions such as normal, fault, and inrush currents, achieving an impressive accuracy of 98%. The study highlights the advantages of combining wavelet transforms for feature extraction with CNN for classification, addressing limitations of tra

Author

na023657

Language

EN