High-Voltage Circuit Breaker Fault Diagnosis Using a Hybrid Feature Transformation Approach Based on Random Forest and Stacked Autoencoder.
Suliang MaMingxuan ChenJianwen WuYuhao WangBowen JiaYuan JiangPublished in: IEEE Trans. Ind. Electron. (2019)
Keyphrases
- random forest
- fault diagnosis
- high voltage
- operating conditions
- analog circuits
- decision trees
- expert systems
- neural network
- feature set
- partial discharge
- fuzzy logic
- ensemble methods
- power plant
- multi label
- normal operation
- base classifiers
- power transformers
- genetic algorithm
- steady state
- feature extraction
- image processing