Switching time estimation and active mode recognition using a data projection method

• Autorzy: Hakem A. , Cocquempot V. , Pekpe K. M.

Identyfikatory

DOI

10.1515/amcs-2016-0059

• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

switching system; mode recognition; fault detection; fault isolation; data driven method; mode discernability; switching detectability; fault identifiability

PL

system przełączania; tryb rozpoznawania; detekcja uszkodzeń; lokalizacja uszkodzeń; tryb rozróżnialności; identyfikowalność uszkodzeń

• Wydawca: Oficyna Wydawnicza Uniwersytetu Zielonogórskiego
• Czasopismo: International Journal of Applied Mathematics and Computer Science
• Rocznik: 2016
• Tom: Vol. 26, no. 4
• Strony: 827--840
• Opis fizyczny: Bibliogr. 29 poz., rys., tab., wykr.

Twórcy

autor

Hakem A.

• CRIStAL—Research Center in Computer Science, Signals and Automatic Control of Lille, UMR 9189, CNRS, University of Lille, F-59000 Lille, France

autor

Cocquempot V.

• CRIStAL—Research Center in Computer Science, Signals and Automatic Control of Lille, UMR 9189, CNRS, University of Lille, F-59000 Lille, France

autor

Pekpe K. M.

• CRIStAL—Research Center in Computer Science, Signals and Automatic Control of Lille, UMR 9189, CNRS, University of Lille, F-59000 Lille, France

Bibliografia

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Uwagi

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę.