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Dynamic state reconciliation and model‐based fault detection for chemical processes
Author(s) -
OlivierMaget Nelly,
Hétreux Gilles,
Le Lann Jean Marc,
Le Lann Marie Véronique
Publication year - 2009
Publication title -
asia‐pacific journal of chemical engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.348
H-Index - 35
eISSN - 1932-2143
pISSN - 1932-2135
DOI - 10.1002/apj.336
Subject(s) - residual , kalman filter , fault detection and isolation , computer science , field (mathematics) , state (computer science) , fault (geology) , extended kalman filter , algorithm , artificial intelligence , mathematics , seismology , pure mathematics , actuator , geology
In this paper, we present a method for the fault detection based on the residual generation. The main idea is to reconstruct the outputs of the system from the measurements using the extended Kalman filter. The estimations are compared to the values of the reference model and so, deviations are interpreted as possible faults. The reference model is simulated by the dynamic hybrid simulator, PrODHyS . The use of this method is illustrated through an application in the field of chemical processes. Copyright © 2009 Curtin University of Technology and John Wiley & Sons, Ltd.