IEEE

Bearing Fault Diagnosis Using CNN-LSTM with Complex Wavelet Transform and Squeeze-and-Excitation Attention Mechanism

Abstract: Bearing fault diagnosis is a critical task for ensuring the safe operation of industrial equipment. However, traditional methods suffer from low fault identification accuracy and ...
IEEE

Robust and Accurate Magnetic Anomaly Detection under Complex Noise Using Synchrosqueezed Short-Time Fourier Transform and Attention-Based Residual Network

Abstract: Magnetic anomaly detection (MAD) is a vital passive sensing technique widely applied in underwater target detection, geological exploration, and military defense. A major challenge lies in ...