Data-driven design of fault diagnosis for three-phase PWM rectifier using random forests technique with transient synthetic features.
Lei KouChuang LiuGuowei CaiJia-Ning ZhouQuande YuanPublished in: CoRR (2022)
Keyphrases
- fault diagnosis
- random forests
- electronic equipment
- fault detection
- pwm rectifier
- analog circuits
- neural network
- random forest
- machine learning algorithms
- expert systems
- logistic regression
- feature space
- decision trees
- feature vectors
- feed forward
- feature extraction
- genetic algorithm
- classification accuracy
- fuzzy logic
- artificial neural networks
- steady state
- bp neural network
- machine learning