In the paper a Fault Detection and Isolation (FDI) procedure based on a model-free approach and the use of pattern recognition techniques is described. The presented results refer to its implementation on a Air Separation Unit (ASU) of a refinement plant and show the goodness of the overall procedure in the detections of single as well as multiple faults and its promptness in terms of faults isolation
Application of a Mahalanobis-Based Pattern Recognition Technique for Fault Diagnosis on a Chemical Process / Zanoli, Silvia Maria; Astolfi, Giacomo. - (2012), pp. 1347-1352. (Intervento presentato al convegno IN PROCEEDINGSCONFERENCE ON CONTROL & AUTOMATION (MED), tenutosi a Barcelona, Spain nel 3-6 July 2012) [10.1109/MED.2012.6265826].
Application of a Mahalanobis-Based Pattern Recognition Technique for Fault Diagnosis on a Chemical Process
ZANOLI, Silvia Maria
;ASTOLFI, GIACOMO
2012-01-01
Abstract
In the paper a Fault Detection and Isolation (FDI) procedure based on a model-free approach and the use of pattern recognition techniques is described. The presented results refer to its implementation on a Air Separation Unit (ASU) of a refinement plant and show the goodness of the overall procedure in the detections of single as well as multiple faults and its promptness in terms of faults isolationI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
