Sensor fault detection and diagnosis using zonotopic set -memberbership estimation - Archive ouverte HAL Access content directly
Conference Papers Year : 2014

Sensor fault detection and diagnosis using zonotopic set -memberbership estimation

(1) , (1) , (2) , ,
1
2
Eduardo Fernandez Camacho
  • Function : Author
  • PersonId : 846947
Didier Dumur

Abstract

This paper proposes new sensor fault detection algorithms for linear discrete-time systems with bounded perturbations and bounded measurement noise. This fault detection technique is based on a zonotopic set-membership estimation method. The first proposed fault detection algorithm allows to detect the presence of a fault. A second algorithm leading to guaranteed state estimation in the presence of sensor faults is developed, sometimes leading to conservative results. Thereafter, the last proposed algorithm allows to reduce the conservativeness while offering an estimation of the state closer to the real state of the faulty system. An illustrative example is analyzed to show the performance of the proposed algorithms.
Fichier principal
Vignette du fichier
med2014.pdf (514.16 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01002477 , version 1 (16-03-2020)

Identifiers

Cite

Sofiane Ben Chabane, Cristina Stoica Maniu, Teodoro Alamo, Eduardo Fernandez Camacho, Didier Dumur. Sensor fault detection and diagnosis using zonotopic set -memberbership estimation. 22nd Mediterranean Conference on Control and Automation, Jun 2014, Palermo, Italy. pp.CR-Rom Proceedings, ⟨10.1109/MED.2014.6961381⟩. ⟨hal-01002477⟩
112 View
75 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More