Application of fuzzy data fusion theory in fault diagnosis of rotating machinery.
Hamideh JafariJavad PoshtanHamed SadeghiPublished in: J. Syst. Control. Eng. (2018)
Keyphrases
- fault diagnosis
- rotating machinery
- data fusion
- fault detection
- fuzzy logic
- steam turbine
- soft computing methods
- rbf neural network
- neural network
- information fusion
- multi sensor
- expert systems
- electrical power systems
- bp neural network
- gas turbine
- multi source
- electronic equipment
- multi sensor data fusion
- fusion algorithm
- multi sensor information fusion
- fault identification
- monitoring and fault diagnosis
- power transformers
- artificial intelligence
- fuzzy sets
- condition monitoring
- fusion methods
- operating conditions
- multiple sensors
- multiple faults
- fault detection and diagnosis
- situation assessment
- analog circuits
- incipient fault
- artificial neural networks
- fault diagnostic
- chemical process
- fusion method
- membership functions
- decision makers
- rough sets
- feature extraction
- fusion process