Conference paper
Modelling and Validating a Deoiling Hydrocyclone for Fault Diagnosis using Multilevel Flow Modeling
Department of Electrical Engineering, Technical University of Denmark1
Automation and Control, Department of Electrical Engineering, Technical University of Denmark2
Aalborg University3
Department of Chemical and Biochemical Engineering, Technical University of Denmark4
PROSYS - Process and Systems Engineering Centre, Department of Chemical and Biochemical Engineering, Technical University of Denmark5
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.
| Language: | English |
|---|---|
| Year: | 2017 |
| Proceedings: | International Symposium on Future Instrumentation & Control for Nuclear Power Plants |
| Types: | Conference paper |
| ORCIDs: | Nielsen, Emil Krabbe , Sin, Gürkan and Lind, Morten |
