DocumentCode
2939829
Title
Hybrid bond graph diagnostic and localisation - signal signature study of three-cell converter
Author
Uzunova, Milka ; Bouamama, Belkacem Ould ; Djemaï, Mohamed
Author_Institution
Univ. Lille Nord de France, Lille, France
fYear
2012
fDate
3-6 July 2012
Firstpage
966
Lastpage
971
Abstract
This paper discusses a localization technique for hybrid systems. It is possible to present the effectiveness of this model-based localization approach by using the example of three-cell converter and its eight operation modes. Based on obtained hybrid bond graph model (HBG), the signal signature for each configuration of the hybrid system was analyzed. The innovative interest of the present paper is the use only one representation (Bond Graph) for modeling and systematic generation of fault indicators based on structural and causal properties of used modeling tool. The transition between modes is achieved by control junctions, which can be activated (on) or deactivated (off). Furthermore, it is possible to substitute to a new model, called diagnostic hybrid bond graph model, where the known variables (i.e., parameters, measurements, sources) are the input of the system and the residuals are the output. Due to the reduced numbers of the measured devices we have no enough information for the system and it is important to define localization procedure for the system. In the second part of this paper signal signature study (SSS) applied for the three-cell converter is offered.
Keywords
bond graphs; convertors; fault diagnosis; HBG; SSS; causal properties; control junctions; fault indicators; hybrid bond graph diagnostic; hybrid bond graph localisation; model-based localization approach; signal signature study; structural properties; three-cell converter; Biological system modeling; Circuit faults; Equations; Fault detection; Load modeling; Mathematical model; Switches;
fLanguage
English
Publisher
ieee
Conference_Titel
Control & Automation (MED), 2012 20th Mediterranean Conference on
Conference_Location
Barcelona
Print_ISBN
978-1-4673-2530-1
Electronic_ISBN
978-1-4673-2529-5
Type
conf
DOI
10.1109/MED.2012.6265763
Filename
6265763
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