DocumentCode :
295244
Title :
Fault detection using state estimation. Application to an electromechanical process
Author :
Bousghiri-Kratz, S. ; Malassé, O. ; Nuninger, W.
Author_Institution :
CNRS, Centre de Recherche en Autom. de Nancy, Vandoeuvre-les-Nancy, France
Volume :
3
fYear :
1995
fDate :
13-15 Dec 1995
Firstpage :
2397
Abstract :
Presents a method in order to detect and localize sensor or actuator failures. This approach is based on redundancy analysis using data reconciliation. This procedure yields to a simultaneous state and input estimation through a sliding window. Using the concept of standardized least square residuals, residuals can be generated in a number of ways and a corresponding design of fault detection and fault isolation scheme can be presented. The authors verify the performances of their method on a real electromechanical system (DC engine)
Keywords :
DC motors; actuators; fault diagnosis; fault location; recursive estimation; redundancy; sensors; state estimation; state-space methods; actuator failures; data reconciliation; electromechanical process; fault detection; fault isolation; input estimation; redundancy analysis; sensor failures; sliding window; standardized least square residuals; state estimation; Actuators; Automatic control; Control systems; Fault detection; Noise measurement; Q measurement; Recursive estimation; Redundancy; Size measurement; State estimation;
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.1995.480698
Filename :
480698
Link To Document :
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