HS-KDNet: A Lightweight Network Based on Hierarchical-Split Block and Knowledge Distillation for Fault Diagnosis With Extremely Imbalanced Data.
Jin DengWenjuan JiangYe ZhangGong WangSheng LiHairui FangPublished in: IEEE Trans. Instrum. Meas. (2021)
Keyphrases
- lightweight
- fault diagnosis
- imbalanced data
- expert systems
- neural network
- fault detection
- knowledge base
- fuzzy logic
- chemical process
- operating conditions
- monitoring and fault diagnosis
- bp neural network
- class distribution
- multi sensor information fusion
- wireless sensor networks
- data fusion
- class imbalance
- linear regression
- text classification
- artificial intelligence
- machine learning