Test signal design for failure detection: A linear programming approach

Héctor Scola; Ramine Nikoukhah; François Delebecque

International Journal of Applied Mathematics and Computer Science (2003)

  • Volume: 13, Issue: 4, page 515-526
  • ISSN: 1641-876X

Abstract

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A new methodology for the design of filters that permits failure detection and isolation of dynamic systems is presented. Assuming that the normal and the faulty behavior of a process can be modeled by two linear systems subject to inequality bounded perturbations, a method for the on-line implementation of a test signal, guaranteeing failure detection, is proposed. To improve the fault detectability of the dynamic process, appropriate test signals are injected into the system. All the computations required by the proposed method are implemented as the solution of large sparse linear optimization problems. A simple numerical example is given to illustrate the proposed procedure.

How to cite

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Scola, Héctor, Nikoukhah, Ramine, and Delebecque, François. "Test signal design for failure detection: A linear programming approach." International Journal of Applied Mathematics and Computer Science 13.4 (2003): 515-526. <http://eudml.org/doc/207664>.

@article{Scola2003,
abstract = {A new methodology for the design of filters that permits failure detection and isolation of dynamic systems is presented. Assuming that the normal and the faulty behavior of a process can be modeled by two linear systems subject to inequality bounded perturbations, a method for the on-line implementation of a test signal, guaranteeing failure detection, is proposed. To improve the fault detectability of the dynamic process, appropriate test signals are injected into the system. All the computations required by the proposed method are implemented as the solution of large sparse linear optimization problems. A simple numerical example is given to illustrate the proposed procedure.},
author = {Scola, Héctor, Nikoukhah, Ramine, Delebecque, François},
journal = {International Journal of Applied Mathematics and Computer Science},
keywords = {failure detection; large scale programming; failure isolation; active detection; bounded perturbations; test signal design; large-scale linear programming; bounded perturbation; fault detection and isolation; linear discrete-time systems; detection filter; separating hyperplane test},
language = {eng},
number = {4},
pages = {515-526},
title = {Test signal design for failure detection: A linear programming approach},
url = {http://eudml.org/doc/207664},
volume = {13},
year = {2003},
}

TY - JOUR
AU - Scola, Héctor
AU - Nikoukhah, Ramine
AU - Delebecque, François
TI - Test signal design for failure detection: A linear programming approach
JO - International Journal of Applied Mathematics and Computer Science
PY - 2003
VL - 13
IS - 4
SP - 515
EP - 526
AB - A new methodology for the design of filters that permits failure detection and isolation of dynamic systems is presented. Assuming that the normal and the faulty behavior of a process can be modeled by two linear systems subject to inequality bounded perturbations, a method for the on-line implementation of a test signal, guaranteeing failure detection, is proposed. To improve the fault detectability of the dynamic process, appropriate test signals are injected into the system. All the computations required by the proposed method are implemented as the solution of large sparse linear optimization problems. A simple numerical example is given to illustrate the proposed procedure.
LA - eng
KW - failure detection; large scale programming; failure isolation; active detection; bounded perturbations; test signal design; large-scale linear programming; bounded perturbation; fault detection and isolation; linear discrete-time systems; detection filter; separating hyperplane test
UR - http://eudml.org/doc/207664
ER -

References

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