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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.
2014 (English)In: Proc. IWA World Water Congress: 2014, IWA Publishing, 2014Conference paper, Oral presentation with published abstract (Refereed)
Abstract [en]

In this paper, we consider the problem of fault detection and isolation in the aeration system of an activated sludge process. The purpose is to detect and localize possible faults in dissolved oxygen and air flow sensors. The dissolved oxygen in each aerated zone is assumed to be controlled automatically. As the basis for a fault detection algorithm 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 by Monte Carlo simulations, and using data from a wastewater treatment plant. The fault detection method shows good results for a correct and early fault detection and isolation.

Place, publisher, year, edition, pages
IWA Publishing, 2014.
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:uu:diva-234382OAI: oai:DiVA.org:uu-234382DiVA: diva2:757037
Conference
IWA World Water Congress 2014, September 21-26, Lisbon, Portugal
Funder
EU, FP7, Seventh Framework Programme, FP7/2007_2013
Available from: 2014-10-20 Created: 2014-10-17 Last updated: 2014-10-29Bibliographically approved

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Carlsson, BengtZambrano, Jesús

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