A Multi-agent Model with Dynamic Leadership for Fault Diagnosis in Chemical Plants.
Benito MendozaPeng XuLimin SongPublished in: DCAI (2011)
Keyphrases
- fault diagnosis
- fault detection and isolation
- neural network
- fault detection
- expert systems
- fault isolation
- fuzzy logic
- electronic equipment
- rbf neural network
- multiple faults
- chemical process
- bp neural network
- operating conditions
- power transformers
- gas turbine
- fault detection and diagnosis
- fault identification
- condition monitoring
- multi sensor information fusion
- failure diagnosis
- industrial systems
- soft computing methods
- analog circuits
- monitoring and fault diagnosis
- rotating machinery
- power plant
- back propagation
- electrical power systems
- case study
- dynamic systems
- machine learning
- tennessee eastman
- bp algorithm
- real time