Inverse fuzzy fault model for fault detection and isolation with least angle regression for variable selection.
Marco Antonio Márquez-VeraLuis Enrique Ramos VelascoOmar López-OrtegaNadia Samantha Zúñiga PeñaJulio César Ramos FernándezRosa María Ortega-MendozaPublished in: Comput. Ind. Eng. (2021)
Keyphrases
- variable selection
- fault model
- fault detection and isolation
- cross validation
- high dimensional
- input variables
- industrial processes
- fault diagnosis
- fuzzy sets
- linear models
- control system
- model selection
- fuzzy logic
- fault detection
- dimension reduction
- high dimensional data
- membership functions
- closed loop
- decision making
- fuzzy neural network
- soft computing
- fuzzy rules
- sparsity inducing
- group lasso
- fault detection and diagnosis
- low dimensional
- feature selection