Bond graph modeling for fault diagnosis: the continuous stirred tank reactor case study.
Rafika El HarabiBelkacem Ould BouamamaMohamed Naceur AbdelkrimPublished in: Simul. (2014)
Keyphrases
- fault diagnosis
- case study
- neural network
- fault detection
- expert systems
- fault detection and diagnosis
- fuzzy logic
- operating conditions
- electronic equipment
- bp neural network
- multiple faults
- monitoring and fault diagnosis
- continuous stirred tank reactor
- power transformers
- gas turbine
- condition monitoring
- fault identification
- failure diagnosis
- real world
- chemical process
- analog circuits
- rbf neural network
- rotating machinery
- tennessee eastman
- control system
- failure modes