DocumentCode
295245
Title
A detection and diagnosis approach by state estimation applied to production machines
Author
Olive, J.M. ; Hmida, F. Ben ; Egea, M.
Author_Institution
DIAM, Inst. Univ. des Sci. pour l´´Ingenieur de Marseille, France
Volume
3
fYear
1995
fDate
13-15 Dec 1995
Firstpage
2403
Abstract
From diagnosis and detection techniques, the authors propose an on-line supervision system applied to machines´ axes. This approach is made up of two main phases: the generation of fault indicator residuals and the decision part concerning the system functional mode. State estimation techniques and statistical filtering are associated to detect on-line system faults
Keywords
decision theory; fault diagnosis; fault location; filtering theory; machine tools; state estimation; statistical analysis; fault indicator residuals; functional mode; online supervision system; online system faults; production machines; state estimation; statistical filtering; Fault detection; Fault diagnosis; Noise measurement; Observers; Production; Riccati equations; Signal generators; Signal processing; State estimation; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 1995., Proceedings of the 34th IEEE Conference on
Conference_Location
New Orleans, LA
ISSN
0191-2216
Print_ISBN
0-7803-2685-7
Type
conf
DOI
10.1109/CDC.1995.480699
Filename
480699
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