- Tytuł:
- Switching time estimation and active mode recognition using a data projection method
- Autorzy:
-
Hakem, A.
Cocquempot, V.
Pekpe, K. M. - Powiązania:
- https://bibliotekanauki.pl/articles/330702.pdf
- Data publikacji:
- 2016
- Wydawca:
- Uniwersytet Zielonogórski. Oficyna Wydawnicza
- Tematy:
-
switching system
mode recognition
fault detection
fault isolation
data driven method
mode discernability
switching detectability
fault identifiability
system przełączania
tryb rozpoznawania
detekcja uszkodzeń
lokalizacja uszkodzeń
tryb rozróżnialności
identyfikowalność uszkodzeń - Opis:
- This paper proposes a data projection method (DPM) to detect a mode switching and recognize the current mode in a switching system. The main feature of this method is that the precise knowledge of the system model, i.e., the parameter values, is not needed. One direct application of this technique is fault detection and identification (FDI) when a fault produces a change in the system dynamics. Mode detection and recognition correspond to fault detection and identification, and switching time estimation to fault occurrence time estimation. The general principle of the DPM is to generate mode indicators, namely, residuals, using matrix projection techniques, where matrices are composed of input and output measured data. The DPM is presented in detail, and properties of switching detectability (fault detectability) and discernability between modes (fault identifiability) are characterized and discussed. The great advantage of this method, compared with other techniques in the literature, is that it does not need the model parameter values and thus can be applied to systems of the same type without identifying their parameters. This is particularly interesting in the design of generic embedded fault diagnosis algorithms.
- Źródło:
-
International Journal of Applied Mathematics and Computer Science; 2016, 26, 4; 827-840
1641-876X
2083-8492 - Pojawia się w:
- International Journal of Applied Mathematics and Computer Science
- Dostawca treści:
- Biblioteka Nauki
Artykuł