DocumentCode
289864
Title
Fault detection in ARX process
Author
Kobi, A. ; Ouladsine, M. ; Ragot, J.
Author_Institution
Centre de Recherche en Autom. de Nancy, Vandoeuvre, France
fYear
1993
fDate
17-20 Oct 1993
Firstpage
394
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ICSMC.1993.385043
Filename
385043
Link To Document