Title :
Fault detection in ARX process
Author :
Kobi, A. ; Ouladsine, M. ; Ragot, J.
Author_Institution :
Centre de Recherche en Autom. de Nancy, Vandoeuvre, France
Abstract :
We consider a unified procedure for detecting, localising and magnitude estimation of outlier and structure change in ARX process. The considered outliers are the additive outlier (AO) and the innovation outlier (IO) both in output and input variable. The structure changes allowed for are level shift and drift shift. The effectiveness of these procedure is demonstrated by analysing a numerical example
Keywords :
Actuators; Fault detection; Input variables; Linear regression; Parameter estimation; Sensor systems; State-space methods; Technological innovation; Testing; Transfer functions;
Conference_Titel :
Systems, Man and Cybernetics, 1993. 'Systems Engineering in the Service of Humans', Conference Proceedings., International Conference on
Conference_Location :
Le Touquet
Print_ISBN :
0-7803-0911-1
DOI :
10.1109/ICSMC.1993.385043
