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DC-DC Circuit Fault Diagnosis Based On GWO Optimization of by 18530595960 is a document available to read on EtoBox.

This study presents a deep learning model combining a one-dimensional convolutional neural network (1DCNN) and gated recurrent unit (GRU) for diagnosing soft faults in DC–DC circuits. The model utilizes the gray wolf optimization algorithm (GWO) to automatically optimize hyperparameters, achieving a fault diagnosis accuracy of 99.62% even in noisy environments. The proposed method addresses the limitations of traditional machine learning approaches by automating feature extraction and enhancing robustness i

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18530595960

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