A Novel Temporal Denoise Convolutional Neural Network with Attention for Robust Fault Diagnosis in Noisy Environments
The proposed TDANet model significantly improves fault diagnosis performance in noisy environments by efficiently extracting multi-time-resolution signal features, applying nonlinear noise filtering, and utilizing multi-head attention fusion.