A new structural approach for ARRs generation from linear & linearized bond graphs

Author

Sia, K. ; Namaane, A. ; M´Sirdi, N.K.

Author_Institution

Lab. des Sci. de l´Inf. et des Syst., Univ. Aix-Marseille III, Marseille, France

fYear

2011

fDate

3-5 March 2011

Firstpage

1

Lastpage

6

Abstract

This paper presents a new structural approach of analytical redundancy relations generation from linear and linearized bond graphs. The approach considers for the first time the linearized bond graphs enclosing information bonds. And secondly, it uses the graphical algorithm of the transfer function to calculate the analytical redundancy relations directly from the diagnostic bond graph in integral causality. So doing so, the unknown variables elimination procedure is avoided. Due to its simplicity, the proposed approach is well suited for large scale systems.

Keywords

bond graphs; fault diagnosis; redundancy; transfer functions; analytical redundancy relations generation; diagnostic bond graph; graphical algorithm; integral causality; large scale system; linearized bond graph; structural approach; transfer function; unknown variables elimination procedure; Detectors; Junctions; Mathematical model; Polynomials; Trajectory; Transfer functions; Analytical redundancy relation (ARRs); diagnostic bond graph; early phase of the design process; linear and linearized bond graphs (LBGs); structural analysis; structural model;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications, Computing and Control Applications (CCCA), 2011 International Conference on

Conference_Location

Hammamet

Print_ISBN

978-1-4244-9795-9

Type

conf

DOI

10.1109/CCCA.2011.6031536

Filename

6031536