Time-varying and anti-disturbance fault diagnosis for a class of nonlinear systems.
Runxia GuoKai GuoJiankang DongYi ZhuPublished in: J. Syst. Control. Eng. (2015)
Keyphrases
- fault diagnosis
- class of nonlinear systems
- optimal control
- particle swarm optimization
- expert systems
- neural network
- fault detection
- fuzzy logic
- multi sensor information fusion
- gas turbine
- fault detection and diagnosis
- bp neural network
- analog circuits
- failure diagnosis
- industrial systems
- operating conditions
- fault identification
- power transformers
- electrical power systems
- rotating machinery
- electronic equipment
- real time
- rbf neural network
- multiple faults
- monitoring and fault diagnosis
- condition monitoring
- fault tree
- chemical process
- artificial intelligence
- fault detection and isolation
- steam turbine
- particle swarm optimisation