Fault detection in dynamic systems by a Fuzzy/Bayesian network formulation.
Marcos F. S. V. D'AngeloReinaldo M. PalharesLuciana Balieiro CosmeLucas A. AguiarFelipe S. FonsecaWalmir M. CaminhasPublished in: Appl. Soft Comput. (2014)
Keyphrases
- dynamic systems
- fault detection
- bayesian networks
- continuous variables
- fault diagnosis
- complex systems
- industrial processes
- fault identification
- consistency based diagnosis
- discrete event
- fuzzy logic
- qualitative reasoning
- fuzzy sets
- failure detection
- tennessee eastman
- condition monitoring
- dynamical systems
- fuel cell
- fuzzy rules
- robust fault detection
- soft computing
- fault detection and diagnosis
- model based diagnosis
- conditional independence
- fault detection and isolation
- graphical models
- fault localization
- linear time invariant
- power plant
- qualitative models
- structure learning
- decision makers
- artificial intelligence
- neural network
- fuzzy controller
- particle filter
- rough sets
- association rules
- expert systems
- knowledge base