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Fault detection and isolation of sensors in aeration control systems
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.
2016 (English)In: Water Science and Technology, ISSN 0273-1223, E-ISSN 1996-9732, Vol. 73, no 3, 648-653 p.Article in journal (Refereed) Published
Abstract [en]

In this paper, we consider the problem of fault detection (FD) and isolation in the aeration system of an activated sludge process. For this study, the dissolved oxygen in each aerated zone is assumed to be controlled automatically. As the basis for an FD method we use the ratio of air flow rates into different zones. The method is evaluated in two scenarios: using the Benchmark Simulation Model no. 1 (BSM1) by Monte Carlo simulations and using data from a wastewater treatment plant. The FD method shows good results for a correct and early FD and isolation.

Place, publisher, year, edition, pages
2016. Vol. 73, no 3, 648-653 p.
Keyword [en]
activated sludge; aeration control; fault detection; incidence matrix; monitoring
National Category
Control Engineering Water Treatment
Identifiers
URN: urn:nbn:se:uu:diva-277301DOI: 10.2166/wst.2015.529ISI: 000374396300024PubMedID: 26877049OAI: oai:DiVA.org:uu-277301DiVA: diva2:904567
Funder
EU, FP7, Seventh Framework Programme, 315145
Available from: 2016-02-19 Created: 2016-02-19 Last updated: 2017-11-30Bibliographically approved

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Carlsson, BengtZambrano, Jesús

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