Abstract: In data-driven fault diagnosis, feature selection not only reduces model complexity but also plays a pivotal role in improving prediction accuracy. Existing studies typically employ binary ...
Abstract: Accurate and effective diagnosis of transformer winding conditions is crucial for ensuring their safe and reliable operation. This paper proposes a transformer winding fault detection method ...
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