Cost sensitive active learning using bidirectional gated recurrent neural networks for imbalanced fault diagnosis.
Peng PengWenjia ZhangYi ZhangYanyan XuHongwei WangHeming ZhangPublished in: Neurocomputing (2020)
Keyphrases
- recurrent neural networks
- fault diagnosis
- neural network
- feed forward
- fault detection
- fault detection and diagnosis
- expert systems
- class imbalance
- chemical process
- operating conditions
- fuzzy logic
- cost sensitive
- rbf neural network
- monitoring and fault diagnosis
- artificial neural networks
- analog circuits
- power transformers
- echo state networks
- bp neural network
- gas turbine
- multiple faults
- multi sensor information fusion
- hidden layer
- soft computing
- active learning strategies
- mathematical model
- data mining