Non-revisiting genetic cost-sensitive sparse autoencoder for imbalanced fault diagnosis.
Peng PengWenjia ZhangYi ZhangHongwei WangHeming ZhangPublished in: Appl. Soft Comput. (2022)
Keyphrases
- fault diagnosis
- cost sensitive
- class imbalance
- class distribution
- multi class
- binary classification
- misclassification costs
- neural network
- cost sensitive learning
- fuzzy logic
- expert systems
- fault detection and diagnosis
- fault detection
- cost sensitive classification
- active learning
- bp neural network
- genetic algorithm
- rbf neural network
- naive bayes
- support vector machine
- high dimensional
- analog circuits
- chemical process
- operating conditions
- power transformers
- multiple faults
- monitoring and fault diagnosis
- multi sensor information fusion
- base classifiers
- supervised learning
- training set
- artificial intelligence