A novel reinforcement learning agent for rotating machinery fault diagnosis with data augmentation
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DOI: 10.1016/j.ress.2024.110570
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Keywords
Equilibrium Deep Q-Network; Reinforcement learning agent; Fault diagnosis; Data augmentation;All these keywords.
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