Hybrid Genetic-Fuzzy Systems for improved performance in Residual-Based Fault Detection.
Francisco SerdioAlexandru-Ciprian ZavoianuEdwin LughoferKurt PichlerThomas BucheggerHajrudin EfendicPublished in: NaBIC (2014)
Keyphrases
- fuzzy systems
- fault detection
- hybrid genetic
- fuzzy rules
- fault diagnosis
- industrial processes
- neural network
- fuzzy model
- soft computing
- fault identification
- computational intelligence
- neural fuzzy
- evolutionary computation
- rule base
- failure detection
- fuel cell
- tennessee eastman
- fuzzy inference system
- fuzzy control
- robust fault detection
- takagi sugeno
- artificial neural networks
- fuzzy controller
- power system
- modeling method
- support vector regression
- power plant
- constraint satisfaction
- fuzzy sets
- rough sets
- fuzzy logic
- search algorithm
- artificial intelligence
- genetic algorithm
- data mining