Modelling and Validating a Deoiling Hydrocyclone for Fault Diagnosis using Multilevel Flow Modeling

Research output: Contribution to conferencePaper – Annual report year: 2017Researchpeer-review


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Decision support systems are a key focus in research on developing control rooms to aidoperators in making reliable decisions, and reducing incidents caused by human errors. For thispurpose, models of complex systems can be developed to diagnose causes or consequences forspecific alarms. Models applied in safety systems of complex and safety critical systems, requirerigorous and reliable model building and testing. Multilevel Flow Modeling is a qualitative methodfor diagnosing faults, and has previously only been validated by subjective and qualitative means.This work aims to synthesize a procedure to measure model performance, according to diagnosticrequirements, to ensure reliability during operation. A simple procedure is proposed for validatingand evaluating Multilevel Flow Modeling models. For this purpose expert statements, a dynamicprocess simulation in K-spice, and pilot plant experiments are used for validation of two simpleMultilevel Flow Modeling models of a deoiling hydrocyclone, used for water and oil separation.
Original languageEnglish
Publication date2017
Number of pages9
Publication statusPublished - 2017
EventInternational Symposium on Future Instrumentation & Control for Nuclear Power Plants - Gyeongju, Korea, Republic of
Duration: 24 Nov 201730 Nov 2017


ConferenceInternational Symposium on Future Instrumentation & Control for Nuclear Power Plants
CountryKorea, Republic of
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    Research areas

  • Multilevel Flow Modelling, Model Validation, Water treatment, Fault Diagnosis

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