- Tytuł:
- From structural analysis to observer-based residual generation for fault detection
- Autorzy:
-
Pröll, S.
Lunze, J.
Jarmolowitz, F. - Powiązania:
- https://bibliotekanauki.pl/articles/330986.pdf
- Data publikacji:
- 2018
- Wydawca:
- Uniwersytet Zielonogórski. Oficyna Wydawnicza
- Tematy:
-
fault diagnosis
structural analysis
observer based diagnosis
diagnosability analysis
diagnostyka uszkodzeń
analiza strukturalna
analiza diagnostyczna - Opis:
- This paper combines methods for the structural analysis of bipartite graphs with observer-based residual generation. The analysis of bipartite structure graphs leads to over-determined subsets of equations within a system model, which make it possible to compute residuals for fault detection. In observer-based diagnosis, by contrast, an observability analysis finds observable subsystems, for which residuals can be generated by state observers. This paper reveals a fundamental relationship between these two graph-theoretic approaches to diagnosability analysis and shows that for linear systems the structurally over-determined set of model equations equals the output connected part of the system. Moreover, a condition is proved which allows us to verify structural observability of a system by means of the corresponding bipartite graph. An important consequence of this result is a comprehensive approach to fault detection systems, which starts with finding the over-determined part of a given system by means of a bipartite structure graph and continues with designing an observer-based residual generator for the fault-detectable subsystem found in the first step.
- Źródło:
-
International Journal of Applied Mathematics and Computer Science; 2018, 28, 2; 233-245
1641-876X
2083-8492 - Pojawia się w:
- International Journal of Applied Mathematics and Computer Science
- Dostawca treści:
- Biblioteka Nauki
Artykuł