Residual attention convolutional autoencoder for feature learning and fault detection in nonlinear industrial processes.
Xing LiuJianbo YuLyujiangnan YePublished in: Neural Comput. Appl. (2021)
Keyphrases
- industrial processes
- fault detection
- industrial process
- fault diagnosis
- learning algorithm
- fault detection and isolation
- quality improvement
- fault identification
- welding process
- deep learning
- case study
- condition monitoring
- input output
- fault localization
- complex systems
- rough sets
- fault detection and diagnosis
- expert systems
- real time