Abstract: Fault diagnosis holds significant practical importance for high performance and reliable control of induction motors. However, existing deep learning-based fault diagnosis methods demand a ...
Abstract: In recent years, reinforcement learning (RL) has made substantial progress by providing feasible solutions to many planning and control problems. However, the majority of RL algorithms, ...
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