Fault diagnosis and fault tolerant control using set-membership approaches: Application to real case studies

Vicenç Puig

International Journal of Applied Mathematics and Computer Science (2010)

  • Volume: 20, Issue: 4, page 619-635
  • ISSN: 1641-876X

Abstract

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This paper reviews the use of set-membership methods in fault diagnosis (FD) and fault tolerant control (FTC). Setmembership methods use a deterministic unknown-but-bounded description of noise and parametric uncertainty (interval models). These methods aims at checking the consistency between observed and predicted behaviour by using simple sets to approximate the exact set of possible behaviour (in the parameter or the state space). When an inconsistency is detected between the measured and predicted behaviours obtained using a faultless system model, a fault can be indicated. Otherwise, nothing can be stated. The same principle can be used to identify interval models for fault detection and to develop methods for fault tolerance evaluation. Finally, some real applications will be used to illustrate the usefulness and performance of set-membership methods for FD and FTC.

How to cite

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Vicenç Puig. "Fault diagnosis and fault tolerant control using set-membership approaches: Application to real case studies." International Journal of Applied Mathematics and Computer Science 20.4 (2010): 619-635. <http://eudml.org/doc/208012>.

@article{VicençPuig2010,
abstract = {This paper reviews the use of set-membership methods in fault diagnosis (FD) and fault tolerant control (FTC). Setmembership methods use a deterministic unknown-but-bounded description of noise and parametric uncertainty (interval models). These methods aims at checking the consistency between observed and predicted behaviour by using simple sets to approximate the exact set of possible behaviour (in the parameter or the state space). When an inconsistency is detected between the measured and predicted behaviours obtained using a faultless system model, a fault can be indicated. Otherwise, nothing can be stated. The same principle can be used to identify interval models for fault detection and to develop methods for fault tolerance evaluation. Finally, some real applications will be used to illustrate the usefulness and performance of set-membership methods for FD and FTC.},
author = {Vicenç Puig},
journal = {International Journal of Applied Mathematics and Computer Science},
keywords = {fault detection; fault-tolerant control; robustness; interval models; set-membership},
language = {eng},
number = {4},
pages = {619-635},
title = {Fault diagnosis and fault tolerant control using set-membership approaches: Application to real case studies},
url = {http://eudml.org/doc/208012},
volume = {20},
year = {2010},
}

TY - JOUR
AU - Vicenç Puig
TI - Fault diagnosis and fault tolerant control using set-membership approaches: Application to real case studies
JO - International Journal of Applied Mathematics and Computer Science
PY - 2010
VL - 20
IS - 4
SP - 619
EP - 635
AB - This paper reviews the use of set-membership methods in fault diagnosis (FD) and fault tolerant control (FTC). Setmembership methods use a deterministic unknown-but-bounded description of noise and parametric uncertainty (interval models). These methods aims at checking the consistency between observed and predicted behaviour by using simple sets to approximate the exact set of possible behaviour (in the parameter or the state space). When an inconsistency is detected between the measured and predicted behaviours obtained using a faultless system model, a fault can be indicated. Otherwise, nothing can be stated. The same principle can be used to identify interval models for fault detection and to develop methods for fault tolerance evaluation. Finally, some real applications will be used to illustrate the usefulness and performance of set-membership methods for FD and FTC.
LA - eng
KW - fault detection; fault-tolerant control; robustness; interval models; set-membership
UR - http://eudml.org/doc/208012
ER -

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Citations in EuDML Documents

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  1. Hicham Jamouli, Mohamed Amine El Hail, Dominique Sauter, A mixed active and passive GLR test for a fault tolerant control system
  2. Ramatou Seydou, Tarek Raissi, Ali Zolghadri, Denis Efimov, Actuator fault diagnosis for flat systems: A constraint satisfaction approach
  3. Ivo Punčochář, Miroslav Šimandl, On infinite horizon active fault diagnosis for a class of non-linear non-Gaussian systems
  4. Boumedyen Boussaid, Christophe Aubrun, Mohamed Naceur Abdelkrim, Mohamed Koni Ben Gayed, Performance evaluation based fault tolerant control with actuator saturation avoidance

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