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dc.contributor.advisorPérez Zúñiga, Carlos Gustavo
dc.contributor.advisorReger, Johann
dc.contributor.authorGöpfert, Johannes Georg
dc.date.accessioned2021-05-11T17:31:24Z
dc.date.available2021-05-11T17:31:24Z
dc.date.created2021
dc.date.issued2021-05-11
dc.identifier.urihttp://hdl.handle.net/20.500.12404/19043
dc.description.abstractWater desalination is one approach to force water scarcity. One of the processes used for desalination is reverse osmosis. Like other systems, a reverse osmosis plant is susceptible to faults. A fault can lead to a loss of efficiency, or if the fault is severe to a total breakdown. Appropriate measures can minimize the impact of faults, but this requires in time fault detection. The following thesis shows a proposal for an online fault diagnosis system of a reverse osmosis plant. For the model-based approach, a mathematical model of a reverse osmosis plant has been developed. The model contains a new approach for modeling the interaction between the high-pressure pump, the brine valve, and the membrane module. Furthermore, six faults considered for fault diagnosis have been modeled. Two of the faults are plant faults: The leakage of the feed stream and membrane fouling. The other four faults are sensor or actuator malfunctions. The fault diagnosis system is developed via structural analysis, a graph-based approach to determine a mathematical model’s overdetermined systems of equations. With the structural analysis, 73 fault-driven minimal structurally overdetermined (FMSO) sets have been determined. The results show that all six faults are detectable. However, two faults are not isolable. Five of the FMSO sets have been chosen to deduce the residuals used for online fault detection and isolation. The simulations demonstrate that the calculated residuals are appropriate to detect and isolate the faults. If one assumes that only the considered faults occur, it is possible to determine some faults’ magnitude.es_ES
dc.language.isoeng
dc.publisherPontificia Universidad Católica del Perú
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rightsAtribución-CompartirIgual 2.5 Perú*
dc.rights.urihttp://creativecommons.org/licenses/by-sa/2.5/pe/*
dc.sourcePontificia Universidad Católica del Perúes_ES
dc.sourceRepositorio de Tesis - PUCPes_ES
dc.subjectAgua--Tratamiento--Ósmosis inversaes_ES
dc.subjectModelos matemáticoses_ES
dc.subjectFallas estructuraleses_ES
dc.titleModel-based fault diagnosis via structural analysis of a reverse osmosis plant
dc.typeinfo:eu-repo/semantics/masterThesis
thesis.degree.nameMagíster en Ingeniería de Control y Automatizaciónes_ES
thesis.degree.levelMaestríaes_ES
thesis.degree.grantorPontificia Universidad Católica del Perú. Escuela de Posgrado.es_ES
thesis.degree.disciplineIngeniería de Control y Automatizaciónes_ES
dc.type.otherTesis de maestría
dc.subject.ocdehttp://purl.org/pe-repo/ocde/ford#2.02.03es_ES
dc.publisher.countryPE
renati.advisor.dni41864666
renati.advisor.orcidhttps://orcid.org/0000-0001-5946-1395es_ES
renati.advisor.orcid-es_ES
renati.advisor.pasaporteCH91G6Y66
renati.author.pasaporteCH9WPZR41
renati.discipline712037es_ES
renati.jurorReger, Johannes_ES
renati.jurorPérez Zúñiga, Carlos Gustavoes_ES
renati.jurorSotomayor Moriano, Juan Javieres_ES
renati.levelhttps://purl.org/pe-repo/renati/level#maestroes_ES
renati.typehttp://purl.org/pe-repo/renati/type#tesises_ES


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