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Fault detection of sensors in aeration control systems: the airflow ratio method
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Systems and Control. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control.
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Systems and Control. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control.
2013 (English)In: 11th IWA conference on Instrumentation, Control and Automation, 2013Conference paper, Poster (with or without abstract) (Refereed)
Abstract [en]

A fault detection method, ARM, has been proposed for detection of faults in DOsensors in a serie of aerated zones. The DO in each zone is assumed to be controlled. In a simulation study, ARM shows promising results for correct and early fault detection. Eventually, it will not be possible to distinguish between a fault in a DOsensor and in air flow rate sensor. In this study, we have, for simplicity, used KLa as a measure of the air flow rate. In practice an air flow rate sensor should be used. An interesting alternative is to use the air valve position instead of the airflow rate.

Place, publisher, year, edition, pages
2013.
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:uu:diva-214488OAI: oai:DiVA.org:uu-214488DiVA: diva2:684906
Conference
ICA 2013, September 18-20, Narbonne, France
Funder
EU, FP7, Seventh Framework Programme, FP7/2007_2013
Available from: 2014-01-08 Created: 2014-01-08 Last updated: 2014-01-09

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Carlsson, BengtZambrano, Jesús

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