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Fault detection of nonlinear processes based on switching linear regression models.
Lucio Ciabattoni
Francesco Ferracuti
Alessandro Freddi
Gianluca Ippoliti
Sauro Longhi
Andrea Monteriù
Published in:
IECON (2016)
Keyphrases
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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