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

Assia Hakem; Vincent Cocquempot; Komi Midzodzi Pekpe

International Journal of Applied Mathematics and Computer Science (2016)

  • Volume: 26, Issue: 4, page 827-840
  • ISSN: 1641-876X

Abstract

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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.

How to cite

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Assia Hakem, Vincent Cocquempot, and Komi Midzodzi Pekpe. "Switching time estimation and active mode recognition using a data projection method." International Journal of Applied Mathematics and Computer Science 26.4 (2016): 827-840. <http://eudml.org/doc/287183>.

@article{AssiaHakem2016,
abstract = {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.},
author = {Assia Hakem, Vincent Cocquempot, Komi Midzodzi Pekpe},
journal = {International Journal of Applied Mathematics and Computer Science},
keywords = {switching systems; mode recognition; fault detection and isolation; data-driven method; mode discernability; switching detectability; fault identifiability},
language = {eng},
number = {4},
pages = {827-840},
title = {Switching time estimation and active mode recognition using a data projection method},
url = {http://eudml.org/doc/287183},
volume = {26},
year = {2016},
}

TY - JOUR
AU - Assia Hakem
AU - Vincent Cocquempot
AU - Komi Midzodzi Pekpe
TI - Switching time estimation and active mode recognition using a data projection method
JO - International Journal of Applied Mathematics and Computer Science
PY - 2016
VL - 26
IS - 4
SP - 827
EP - 840
AB - 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.
LA - eng
KW - switching systems; mode recognition; fault detection and isolation; data-driven method; mode discernability; switching detectability; fault identifiability
UR - http://eudml.org/doc/287183
ER -

References

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