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
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;
Conference_Titel :
Decision and Control, 1995., Proceedings of the 34th IEEE Conference on
Conference_Location :
New Orleans, LA
Print_ISBN :
0-7803-2685-7
DOI :
10.1109/CDC.1995.480699
