Water 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.
| Identifer | oai:union.ndltd.org:PUCP/oai:tesis.pucp.edu.pe:20.500.12404/19043 |
| Date | 11 May 2021 |
| Creators | Göpfert, Johannes Georg |
| Contributors | Pérez Zúñiga, Carlos Gustavo, Reger, Johann |
| Publisher | Pontificia Universidad Católica del Perú, PE |
| Source Sets | Pontificia Universidad Católica del Perú |
| Language | English |
| Detected Language | English |
| Type | info:eu-repo/semantics/masterThesis |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess, Atribución-CompartirIgual 2.5 Perú, http://creativecommons.org/licenses/by-sa/2.5/pe/ |
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