Application of interval type-2 fuzzy logic systems to gas turbine fault diagnosis.
Morteza Montazeri-GhShabnam YazdaniPublished in: Appl. Soft Comput. (2020)
Keyphrases
- gas turbine
- fault diagnosis
- type fuzzy logic systems
- steam turbine
- fault tree
- neural network
- soft computing methods
- fault detection
- expert systems
- fuzzy logic
- electrical power systems
- operating conditions
- fuzzy sets
- fault detection and diagnosis
- bp neural network
- condition monitoring
- analog circuits
- multiple faults
- electronic equipment
- rotating machinery
- monitoring and fault diagnosis
- artificial intelligence
- power plant
- fault identification
- simulation model
- computer aided
- pattern recognition
- fault diagnostic