Publication

Robust fault detection of non-linear systems using set-membership state estimation based on constraint satisfaction

Journal Article (2012)

Journal

Engineering Applications of Artificial Intelligence

Pages

1-10

Volume

25

Number

1

Doc link

http://dx.doi.org/10.1016/j.engappai.2011.07.007

File

Download the digital copy of the doc pdf document

Abstract

In this paper, the robust fault detection problem for non-linear systems considering both bounded parametric modelling errors and measurement noises is addressed. The non-linear system is monitored by using a state estimator with bounded modelling uncertainty and bounded process and measurement noises. Additionally, time-variant and time-invariant system models are taken into account. Fault detection is formulated as a set-membership state estimation problem, which is implemented by means of constraint satisfaction techniques. Two solutions are presented: the first one solves the general case while the second solves the time-variant case, being this latter a relaxed solution of the first one. The performance of the time-variant approach is tested in two applications: the well-known quadruple-tank benchmark and the dynamicmodel of a representative portion of the Barcelona’s sewer network. In both applications, different scenarios are presented: a faultless situation and some faulty situations. All considered scenarios are intended to show the effectiveness of the presented approach.

Categories

control theory, linear programming, observability.

Author keywords

fault detection, robustness, intervals, set-membership estimation, constraints satisfaction

Scientific reference

S. Tornil-Sin, C. Ocampo-Martínez, V. Puig and T. Escobet. Robust fault detection of non-linear systems using set-membership state estimation based on constraint satisfaction. Engineering Applications of Artificial Intelligence, 25(1): 1-10, 2012.