Publication

Robust fault diagnosis of non-linear systems using interval constraint satisfaction and analytical redundancy relations

Journal Article (2014)

Journal

IEEE Transactions on Systems, Man, and Cybernetics: Systems

Pages

18-29

Volume

44

Number

1

Doc link

http://dx.doi.org/10.1109/TSMC.2013.2238924

File

Download the digital copy of the doc pdf document

Abstract

In this paper, the robust fault diagnosis pro- blem for non-linear systems considering both bounded parametric modelling errors and noises is addressed using parity equation based Analytical Redundancy Relations and Interval Constraint Satisfaction techniques. Fault detection, isolation and estimation tasks are considered. Moreover, the paper addresses the problem of determining the uncertainty in the parameters of the used uncertain ARRs. To illustrate the usefulness of the proposed ap- proach, a case study based on the well known wind turbine benchmark is used.

Categories

automation.

Author keywords

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

Scientific reference

S. Tornil-Sin, C. Ocampo-Martínez, V. Puig and T. Escobet. Robust fault diagnosis of non-linear systems using interval constraint satisfaction and analytical redundancy relations. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 44(1): 18-29, 2014.