A Dynamic Recurrent Neural Network Fault Diagnosis and Isolation Architecture for Satellite's Actuator/Thruster Failures.
Li LiLiying MaKhashayar KhorasaniPublished in: ISNN (3) (2005)
Keyphrases
- fault diagnosis
- recurrent neural networks
- neural network
- failure diagnosis
- fault isolation
- fault detection and isolation
- fault detection
- fuzzy logic
- fault detection and diagnosis
- expert systems
- echo state networks
- operating conditions
- condition monitoring
- gas turbine
- power transformers
- bp neural network
- multiple faults
- control system
- electronic equipment
- chemical process
- analog circuits
- monitoring and fault diagnosis
- reservoir computing
- rotating machinery
- failure detection
- neural network structure
- multi sensor information fusion
- feed forward
- rbf neural network
- feedforward neural networks
- neuro fuzzy
- information fusion
- fault identification
- machine learning
- recurrent networks
- industrial systems
- complex valued
- real time
- hidden layer
- tennessee eastman
- knowledge base
- artificial neural networks
- prediction model
- electrical power systems
- computational intelligence
- input output