A model-based probabilistic approach for fault detection and identification with application to the diagnosis of automotive engines.
Laurian DincaTunc AldemirGiorgio RizzoniPublished in: IEEE Trans. Autom. Control. (1999)
Keyphrases
- fault detection
- fault diagnosis
- industrial processes
- fault identification
- fault localization
- condition monitoring
- fault detection and diagnosis
- rotating machinery
- fault detection and isolation
- robust fault detection
- tennessee eastman
- gas turbine
- data mining
- failure detection
- input output
- genetic programming
- case based reasoning
- evolutionary algorithm
- decision making