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

fYear

2013

fDate

18-21 March 2013

Firstpage

1

Lastpage

8

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/SSD.2013.6564058

Filename

6564058