Hybrid model identification for fault diagnosis of non-linear dynamic processes.
Silvio SimaniPublished in: ACC (2004)
Keyphrases
- fault diagnosis
- hybrid model
- fault detection and isolation
- neural network
- fault detection
- electronic equipment
- fault detection and diagnosis
- expert systems
- hybrid models
- gas turbine
- bp neural network
- support vector regression
- industrial processes
- fault isolation
- power transformers
- rbf neural network
- artificial neural networks
- monitoring and fault diagnosis
- chemical process
- fuzzy logic
- rotating machinery
- operating conditions
- condition monitoring
- multi sensor information fusion
- electrical power systems
- analog circuits
- multiple faults
- closed loop
- fault identification
- control system
- support vector machine svm
- tennessee eastman