
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.


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a-novel-temporal-denoise-convolutional-neural-network-with-attention-for-robust-fault-diagnosis-in-noisy-environments


A Novel Temporal Denoise Convolutional Neural Network with Attention for Robust Fault Diagnosis in Noisy Environments
