Title :
Graphical linear observers for fault detection: The DC motor case study
Author :
Saoudi, Ghada ; El Harabi, Rafika ; Abdelkrim, Mohamed Naceur
Author_Institution :
Nat. Eng. Sch. of Gab`es, Gabes Univ., Gabes, Tunisia
Abstract :
The present paper deals with a Luenberger observer design by using a causal graphical approach. Causal proprieties and structural analysis of a Bond Graph tool are involved to build classical linear observers. The residual sensitivity analysis improves the efficiency of the fault detection estimator. Simulation tests on a DC motor show the performance of the developed graphical linear observer in order to detect actuator faults.
Keywords :
DC motors; actuators; bond graphs; fault diagnosis; observers; sensitivity analysis; DC motor; Luenberger observer design; actuator fault detection; bond graph tool; causal graphical approach; classical linear observers; fault detection estimator; graphical linear observer; graphical linear observers; residual sensitivity analysis; DC motors; Educational institutions; Fault detection; Mathematical model; Observers; Polynomials; Bond Graph; DC-motor; Fault detection; Graphical observer; Structural Analysis;
Conference_Titel :
Systems, Signals & Devices (SSD), 2013 10th International Multi-Conference on
Conference_Location :
Hammamet
Print_ISBN :
978-1-4673-6459-1
Electronic_ISBN :
978-1-4673-6458-4
DOI :
10.1109/SSD.2013.6564058
