Data-driven fault diagnosis for chemical processes using transfer entropy and graphical lasso.
Hodong LeeChangsoo KimSanha LimJong Min LeePublished in: Comput. Chem. Eng. (2020)
Keyphrases
- fault diagnosis
- data driven
- neural network
- expert systems
- fault detection
- fuzzy logic
- rotating machinery
- rbf neural network
- power transformers
- bp neural network
- operating conditions
- multi sensor information fusion
- industrial systems
- analog circuits
- failure diagnosis
- gas turbine
- chemical process
- fault detection and diagnosis
- feature selection
- condition monitoring
- bp algorithm
- multiple faults
- electronic equipment
- fault identification
- electrical power systems
- power plant
- case study
- fault detection and isolation
- decision making
- tennessee eastman
- fault diagnostic