An Evolutionary Optimized Residual CNN with Attention-Enhanced LSTM for Intelligent Bearing Fault Diagnosis
Rolling bearings are a critical component for the reliability of rotating machinery, but traditional fault diagnosis methods rely on manually designed features, resulting in insufficient robustness under varying operating conditions. To address this issue, this paper proposes an evolutionary optimization framework that...