research-article

Pseudo bond graph for fault detection and isolation of an industrial chemical reactor part II: FDI system design

Authors:

Rafika El Harabi,

Belkacem Ould Bouamama,

Mohamed Kony Ben Gayed,

Mohamed Naceur AbdelkrimAuthors Info & Claims

SpringSim '10: Proceedings of the 2010 Spring Simulation Multiconference

Article No.: 221, Pages 1 - 7

https://doi.org/10.1145/1878537.1878767

Published: 11 April 2010 Publication History

Abstract

This second part of the two series papers deals with the problem of bond graph model based fault diagnosis for a class of chemical reactions taking place in a jacketed reactor. A bond graph model based fault detection and isolation approach applied to design of a supervision system for a complex chemical reactor is presented. The nonlinearities and energetic couplings involved in the dynamics require a suitable supervision environment. Furthermore, the causal and structural properties of the bond graph tool are used to design Fault Detection and Isolation (FDI) algorithms (i.e. the generation of fault indicators) to determine the availability of the chemical process. Thus, a unified framework is developed to take into account faults affecting sensors, actuators and process. Structural analysis of the model is utilized to obtain the fault signatures for fault isolation. The decision procedure to detect and isolate the faults uses the residuals, evaluated online. A detailed kinetic modelling approach had been proposed in previous work to simulate chemical reactions and analyze the appearance of secondary reactions under industrial conditions in this present paper.

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Cited By

Gholizadeh MYazdizadeh AMohammad-Bagherpour H(2019)Fault detection and identification using combination of EKF and neuro-fuzzy network applied to a chemical process (CSTR)Pattern Analysis & Applications10.1007/s10044-017-0634-722:2(359-373)Online publication date: 25-May-2019
https://dl.acm.org/doi/10.1007/s10044-017-0634-7
Harabi RBouamama BBen Gayed MAbdelkrim M(2011)Robust fault diagnosis of chemical system by using uncertain bond graph modelEighth International Multi-Conference on Systems, Signals & Devices10.1109/SSD.2011.5767453(1-7)Online publication date: Mar-2011
https://doi.org/10.1109/SSD.2011.5767453

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Published In

cover image ACM Other conferences

SpringSim '10: Proceedings of the 2010 Spring Simulation Multiconference

April 2010

1726 pages

ISBN:9781450300698

General Chairs:
Robert McGraw
RAM Laboratories, Inc
,
Eric Imsand
Auburn University
,
Program Chair:
Michael J. Chinni
US Army - RDECOM - ARDEC

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SCS: Society for Modeling and Simulation International

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SIGSIM: ACM Special Interest Group on Simulation and Modeling

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Society for Computer Simulation International

San Diego, CA, United States

Publication History

Published: 11 April 2010

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April 11 - 15, 2010

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Cited By

Gholizadeh MYazdizadeh AMohammad-Bagherpour H(2019)Fault detection and identification using combination of EKF and neuro-fuzzy network applied to a chemical process (CSTR)Pattern Analysis & Applications10.1007/s10044-017-0634-722:2(359-373)Online publication date: 25-May-2019
https://dl.acm.org/doi/10.1007/s10044-017-0634-7
Harabi RBouamama BBen Gayed MAbdelkrim M(2011)Robust fault diagnosis of chemical system by using uncertain bond graph modelEighth International Multi-Conference on Systems, Signals & Devices10.1109/SSD.2011.5767453(1-7)Online publication date: Mar-2011
https://doi.org/10.1109/SSD.2011.5767453

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