Fuzzy Nonlinear Regression Analysis Using Fuzzified Neural Networks for Fault Diagnosis of Chemical Plants.
Daisaku KimuraManabu NiiTakafumi YamaguchiYutaka TakahashiTakayuki YumotoPublished in: J. Adv. Comput. Intell. Intell. Informatics (2011)
Keyphrases
- fault diagnosis
- regression analysis
- neural network
- fuzzy logic
- fuzzy sets
- linear regression models
- monitoring and fault diagnosis
- regression model
- fuzzy numbers
- membership functions
- expert systems
- fault detection
- fuzzy neural network
- fault detection and diagnosis
- linear regression model
- fuzzy systems
- factor analysis
- operating conditions
- soft computing
- bp neural network
- explanatory variables
- rbf neural network
- incipient fault
- multiple faults
- chemical process
- fuzzy rules
- power transformers
- computational intelligence
- analog circuits
- genetic algorithm
- gas turbine
- pattern recognition
- control system
- fuzzy inference
- fuzzy classification
- fuzzy inference system
- back propagation
- fuzzy logic controller
- fuzzy theory
- rotating machinery
- neural network model
- evaluation model
- signal processing
- clustering algorithm
- fuzzy controller
- statistical tests
- artificial intelligence
- fuzzy model