Artificial neural network approach for fault detection in rotary system.
S. RajakarunakaranP. VenkumarD. DevarajK. Suryaprakasa RaoPublished in: Appl. Soft Comput. (2008)
Keyphrases
- fault detection
- artificial neural networks
- fault diagnosis
- fault identification
- neural network
- industrial processes
- robust fault detection
- condition monitoring
- back propagation
- tennessee eastman
- fuel cell
- fault detection and diagnosis
- fault detection and isolation
- rotating machinery
- genetic algorithm
- failure detection
- computational intelligence
- input output
- dynamic model
- power plant
- real time
- computer simulation