Imbalanced Sample Selection With Deep Reinforcement Learning for Fault Diagnosis.
Saite FanXinmin ZhangZhihuan SongPublished in: IEEE Trans. Ind. Informatics (2022)
Keyphrases
- fault diagnosis
- sample selection
- reinforcement learning
- active learning
- training data
- expert systems
- neural network
- fault detection
- power transformers
- selection strategy
- bp neural network
- fuzzy logic
- multiple faults
- fault detection and diagnosis
- gas turbine
- chemical process
- rotating machinery
- learning algorithm
- analog circuits
- state space
- operating conditions
- learning process
- monitoring and fault diagnosis
- condition monitoring
- machine learning
- support vector machine
- electronic equipment
- svm classification
- multi sensor information fusion
- class distribution
- supervised learning
- power plant
- artificial neural networks
- training set
- pattern recognition
- genetic algorithm
- fault diagnostic
- data sets