LAPSE:2021.0091
Published Article
LAPSE:2021.0091
Fault Detection and Isolation System Based on Structural Analysis of an Industrial Seawater Reverse Osmosis Desalination Plant
March 1, 2021
Currently, the use of industrial seawater reverse osmosis desalination (ISROD) plants has increased in popularity in light of the growing global demand for freshwater. In ISROD plants, any fault in the components of their control systems can lead to a plant malfunction, and this condition can originate safety risks, energy waste, as well as affect the quality of freshwater. This paper addresses the design of a fault detection and isolation (FDI) system based on a structural analysis approach for an ISROD plant located in Lima (Peru). Structural analysis allows obtaining a plant model, which is useful to generate diagnostic tests. Here, diagnostic tests via fault-driven minimal structurally overdetermined (FMSO) sets are computed, and then, binary integer linear programming (BILP) is used to select the FMSO sets that guarantee isolation. Simulations shows that all the faults of interest (sensors and actuators faults) are detected and isolated according to the proposed design.
Keywords
diagnostic test, model based fault diagnosis, seawater reverse osmosis desalination plant, structural analysis, water scarcity
Suggested Citation
Pérez-Zuñiga G, Rivas-Perez R, Sotomayor-Moriano J, Sánchez-Zurita V. Fault Detection and Isolation System Based on Structural Analysis of an Industrial Seawater Reverse Osmosis Desalination Plant. (2021). LAPSE:2021.0091
Author Affiliations
Pérez-Zuñiga G: Departamento de Ingeniería, Pontificia Universidad Católica del Perú, Avenida Universitaria 1801, San Miguel, Lima 15088, Peru [ORCID]
Rivas-Perez R: Departamento de Ingeniería, Pontificia Universidad Católica del Perú, Avenida Universitaria 1801, San Miguel, Lima 15088, Peru; Departamento de Automática y Computación, Universidad Tecnológica de la Habana José Antonio Echeverría (CUJAE), La Haba [ORCID]
Sotomayor-Moriano J: Departamento de Ingeniería, Pontificia Universidad Católica del Perú, Avenida Universitaria 1801, San Miguel, Lima 15088, Peru [ORCID]
Sánchez-Zurita V: Departamento de Ingeniería, Pontificia Universidad Católica del Perú, Avenida Universitaria 1801, San Miguel, Lima 15088, Peru
Journal Name
Processes
Volume
8
Issue
9
Article Number
E1100
Year
2020
Publication Date
2020-09-04
Published Version
ISSN
2227-9717
Version Comments
Original Submission
Other Meta
PII: pr8091100, Publication Type: Journal Article
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LAPSE:2021.0091
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doi:10.3390/pr8091100
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Mar 1, 2021
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CC BY 4.0
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[v1] (Original Submission)
Mar 1, 2021
 
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Mar 1, 2021
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https://psecommunity.org/LAPSE:2021.0091
 
Original Submitter
Calvin Tsay
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