Fault detection of nonlinear processes based on switching linear regression models.
Lucio CiabattoniFrancesco FerracutiAlessandro FreddiGianluca IppolitiSauro LonghiAndrea MonteriùPublished in: IECON (2016)
Keyphrases
- fault detection
- industrial processes
- linear regression models
- fault diagnosis
- fault identification
- least squares
- condition monitoring
- tennessee eastman
- robust fault detection
- failure detection
- regression analysis
- fault detection and diagnosis
- regression trees
- fuel cell
- interval valued data
- power plant
- decision makers
- rough sets
- information extraction
- decision making