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Binary classifiers applied to detect DO sensor faults during washing events
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.
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.
2015 (English)In: Proc. 2nd IWA Conference on New Developments in IT & Water, IWA Publishing, 2015Conference paper, Oral presentation with published abstract (Other academic)
Abstract [en]

In this paper, several classication techniques are applied for monitoring the status of DO sensors in wastewater treatment plants. In particular, DO sensors during washing events are studied and indication parameters from these events are used. The methods considered are the following: k-Nearest Neighbours, Radial Basis Function and Random Forest classiers. The result shows the comparison and the eligibility of the methods to detect a clogged DO-sensor.

Place, publisher, year, edition, pages
IWA Publishing, 2015.
National Category
Control Engineering Water Treatment
Identifiers
URN: urn:nbn:se:uu:diva-236309OAI: oai:DiVA.org:uu-236309DiVA: diva2:763915
Conference
2nd IWA Conference on New Developments in IT & Water, February 8–10, 2015, Rotterdam, The Netherlands
Available from: 2014-11-17 Created: 2014-11-17 Last updated: 2014-11-19Bibliographically approved

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Authority records BETA

Chistiakova, TatianaCarlsson, BengtZambrano, JesúsSamuelsson, Oscar

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Chistiakova, TatianaCarlsson, BengtZambrano, JesúsSamuelsson, Oscar
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