Publication

Robust fault diagnosis of non-linear systems using constraints satisfaction

Conference Article

Conference

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

Edition

7th

Pages

1138-1143

Doc link

http://www.ifac-papersonline.net/

File

Download the digital copy of the doc pdf document

Abstract

In this paper, the robust fault diagnosis problem for non-linear systems considering both bounded parametric modeling errors and noises is addressed using constraints satisfaction. Combining available measurements with the model of the monitored system, a set of analytical redundancy relations (ARR), relating only known variables, can be derived. These relations will be used in the fault diagnosis procedure to check the consistency between the observed and the predicted system behaviour. When some inconsistency is detected, the fault isolation mechanism will be activated in order to provide an explanation of the possible cause. Finally, a fault estimation procedure is used to estimate the fault size. To illustrate the usefulness of the proposed approach, a case study based on a well-known four tanks systems control benchmark is used.



Categories

control system analysis, control theory.

Author keywords

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

Scientific reference

V. Puig, T. Escobet, C. Ocampo-Martínez and S. Tornil-Sin. Robust fault diagnosis of non-linear systems using constraints satisfaction, 7th IFAC Symposium on Fault Detection Supervision and Safety for Technical Processes, 2009, Barcelona, Spain, pp. 1138-1143.