Designing a hierarchical neural network based on fuzzy clustering for fault diagnosis of the Tennessee-Eastman process.
Reza EslamloueyanPublished in: Appl. Soft Comput. (2011)
Keyphrases
- fault diagnosis
- chemical process
- fuzzy clustering
- tennessee eastman
- fault detection
- neural network
- rbf neural network
- fault detection and diagnosis
- expert systems
- industrial systems
- fuzzy c means
- bp neural network
- fuzzy logic
- power plant
- operating conditions
- rotating machinery
- fuzzy theory
- clustering algorithm
- multi sensor information fusion
- monitoring and fault diagnosis
- fuzzy clustering algorithm
- condition monitoring
- power transformers
- fuzzy c means algorithm
- fuzzy c means clustering algorithm
- multiple faults
- electronic equipment
- membership functions
- gas turbine
- clustering analysis
- control system
- pattern recognition