Publication

Interval observer fault detection ensuring detectability and isolability by using a set-invariance approach

Conference Article

Conference

IFAC Symposium on Fault Detection Supervision and Safety for Technical Processes (SAFEPROCESS)

Edition

10th

Pages

1111-1118

Doc link

https://doi.org/10.1016/j.ifacol.2018.09.727

File

Download the digital copy of the doc pdf document

Abstract

This paper proposes the design of an interval observer-based Fault Detection and Isolation (FDI) algorithm using the set-invariance approach. Using this approach, both fault detectability and isolability properties of the proposed interval observer based FDI algorithm can be characterized in steady-state operation of the system. The effect of the uncertainty is taken into account using zonotopic-set representations. Finally, a simulation example based on a two-tanks system is employed to both illustrate and discuss the effectiveness of the proposed approach.

Categories

control theory.

Author keywords

Fault detection, bounded uncertainties, observers-based approach, set-invariance approach, zonotopes

Scientific reference

M. Pourasghar, V. Puig and C. Ocampo-Martínez. Interval observer fault detection ensuring detectability and isolability by using a set-invariance approach, 10th IFAC Symposium on Fault Detection Supervision and Safety for Technical Processes, 2018, Warsow, Poland, Vol 51-24 of IFAC Papers Online, pp. 1111-1118, IFAC-Elsevier.