Publication

Identification for passive robust fault detection using zonotope-based set-membership approaches

Journal Article (2011)

Journal

International Journal of Adaptive Control and Signal Processing

Pages

788-812

Volume

25

Number

9

Doc link

http://dx.doi.org/10.1002/acs.1242

File

Download the digital copy of the doc pdf document

Abstract

In this paper, the problem of identification for passive robust fault detection, when a bounded description of the modelling uncertainty is considered, is addressed. Two set-membership identification methods are introduced to address this problem: the interval predictor and bounded error approaches. These two identification approaches naturally lead to two robust fault detection tests: the direct and inverse tests, respectively, which are also introduced and discussed. Implementation algorithms make use of a zonotope to approximate the parameter uncertainty set. Moreover, underlying hypothesis of both approaches is discussed and applicability conditions are stated. A case study based on a four-tank system is used to illustrate the applicability and the properties of the two identification approaches as well as the corresponding fault detection.

Categories

control theory.

Author keywords

fault detection, uncertainty, zonotopes

Scientific reference

J. Blesa, V. Puig and J. Saludes. Identification for passive robust fault detection using zonotope-based set-membership approaches. International Journal of Adaptive Control and Signal Processing, 25(9): 788-812, 2011.