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
Authors
-
Puig Cayuela, Vicenç
-
Escobet Canal, Teresa
-
Ocampo Martínez, Carlos A.
-
Tornil Sin, Sebastian
Projects associated
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.
Follow us!