Search Results for author:
Found 2 papers, 0 papers with code
TDANet: A Novel Temporal Denoise Convolutional Neural Network With Attention for Fault Diagnosis
Fault diagnosis plays a crucial role in maintaining the operational integrity of mechanical systems, preventing significant losses due to unexpected failures.
Scalable and reliable deep transfer learning for intelligent fault detection via multi-scale neural processes embedded with knowledge
The multi-scale uncertainty analysis is obtained by using the distribution characteristics of global and local latent variables.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
