A study on adaptation lightweight architecture based deep learning models for bearing fault diagnosis under varying working conditions.
Jie WuTang TangMing ChenYi WangKesheng WangPublished in: Expert Syst. Appl. (2020)
Keyphrases
- lightweight
- fault diagnosis
- learning models
- monitoring and fault diagnosis
- fault detection
- operating conditions
- real time
- fault detection and diagnosis
- chemical process
- neural network
- expert systems
- electronic equipment
- fuzzy logic
- learning algorithm
- machine learning
- classification models
- condition monitoring
- literature review
- learning tasks
- semi supervised learning
- generative model
- wireless sensor networks
- active learning