Abstract: Due to significant attenuation, small abrupt changes, and high noise interference present in fault traveling waves obtained from long-distance transmission lines under actual field ...
Abstract: Deep learning-based fault diagnosis often suffers from significant accuracy degradation under varying working conditions. While domain generalization (DG) methods can ensure consistency in ...
The risk of bias was evaluated using the Quality In Prognosis Studies tool and the Prediction model Risk Of Bias Assessment Tool by 2 investigators (MMS and MAS) independently. A narrative synthesis ...
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