Fault diagnosis in industrial rotating equipment based on permutation entropy, signal processing and multi-output neuro-fuzzy classifier.
Saeed RajabiMehdi Saman AzariStefania SantiniFrancesco FlamminiPublished in: Expert Syst. Appl. (2022)
Keyphrases
- fault diagnosis
- fuzzy classifier
- signal processing
- neuro fuzzy
- industrial systems
- gas turbine
- neural network
- chemical process
- fuzzy rules
- fuzzy logic
- pattern classification
- fuzzy classification
- fault detection
- adaptive learning
- fault diagnostic
- electronic equipment
- expert systems
- rbf neural network
- operating conditions
- pattern recognition
- multiple faults
- fault detection and diagnosis
- power transformers
- image processing
- fuzzy inference
- artificial neural networks
- fuzzy membership functions
- analog circuits
- industrial applications
- monitoring and fault diagnosis
- industrial processes
- multi sensor information fusion
- fuzzy sets
- feature space
- learning environment
- fuzzy neural network
- rule base
- power system