PEM fuel cell fault diagnosis via a hybrid methodology based on fuzzy and pattern recognition techniques.
Antoni EscobetÀngela NebotFrancisco MugicaPublished in: Eng. Appl. Artif. Intell. (2014)
Keyphrases
- fault diagnosis
- fault detection
- fuel cell
- pattern recognition
- fuzzy logic
- neural network
- fuzzy sets
- rotating machinery
- tennessee eastman
- fault identification
- expert systems
- incipient fault
- fault tree
- fault detection and diagnosis
- operating conditions
- membership functions
- chemical process
- bp neural network
- rbf neural network
- electronic equipment
- gas turbine
- power transformers
- multiple faults
- condition monitoring
- fuzzy numbers
- soft computing methods
- fuzzy rules
- image processing
- industrial systems
- fault detection and isolation
- machine learning
- failure diagnosis
- analog circuits
- fuzzy systems
- fuzzy clustering
- multi sensor information fusion
- fuzzy inference
- power plant
- complex systems
- decision support system
- rough sets
- computational intelligence
- genetic algorithm