Filter-wrapper combined feature selection and adaboost-weighted broad learning system for transformer fault diagnosis under imbalanced samples.
Beijia ZhaoDongsheng YangHamid Reza KarimiBowen ZhouShuai FengGuangdi LiPublished in: Neurocomputing (2023)
Keyphrases
- fault diagnosis
- feature selection
- learning algorithm
- power transformers
- fuzzy logic
- neural network
- expert systems
- rotating machinery
- fault detection and diagnosis
- analog circuits
- fault detection
- bp neural network
- support vector
- multi class
- operating conditions
- artificial intelligence
- chemical process
- multiple faults
- fuzzy sets
- classification accuracy
- active learning
- undergraduate students
- condition monitoring
- feature extraction
- electronic equipment
- data mining