Jintian Sun

Dynamic wavelet optimization and hierarchical reinforcement learning for fault diagnosis in wind turbines under variable operating conditions

Experimental results show that the proposed dynamic wavelet optimisation and hierarchical reinforcement learning method outperforms state-of-the-art methods in both performance and reliability.