Chemical Process Fault Diagnosis Using Kernel Retrofitted Fuzzy Genetic Algorithm Based Learner (FGAL) with a Hidden Markov Model.
Ibrahim Burak ÖzyurtAydin K. SunolLawrence O. HallPublished in: IEA/AIE (Vol. 1) (1998)
Keyphrases
- chemical process
- hidden markov models
- fault diagnosis
- fuzzy logic
- fuzzy sets
- kernel density
- membership functions
- speech recognition
- fault detection
- neural network
- expert systems
- fault detection and diagnosis
- tennessee eastman
- conditional random fields
- kernel function
- sequential data
- control system
- operating conditions
- bp neural network
- support vector
- hidden state
- hidden states
- fuzzy clustering
- feature space
- fuzzy rules
- speech signal
- multiple faults
- fuzzy theory
- real time
- learning algorithm
- genetic algorithm
- continuous hidden markov models
- computational intelligence
- fisher kernel
- artificial intelligence
- power transformers
- reinforcement learning
- steady state
- non stationary