Time-frequency supervised contrastive learning via pseudo-labeling: An unsupervised domain adaptation network for rolling bearing fault diagnosis under time-varying speeds.
Bin PangQiuhai LiuZhenduo SunZhenli XuZiyang HaoPublished in: Adv. Eng. Informatics (2024)
Keyphrases
- fault diagnosis
- monitoring and fault diagnosis
- unsupervised learning
- active learning
- learning algorithm
- neural network
- supervised learning
- fault detection
- expert systems
- wavelet transform
- fault detection and diagnosis
- gas turbine
- chemical process
- artificial neural networks
- multiresolution
- artificial intelligence
- bp neural network
- condition monitoring
- analog circuits