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Fault signatures an...
Fault signatures and bias progression in dissolved oxygen sensors
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- Samuelsson, Oscar (författare)
- Uppsala universitet,Avdelningen för systemteknik,Reglerteknik,IVL Swedish Environm Res Inst, Stockholm, Sweden,Uppsala University, Sweden,Division of Systems and Control, Department of Information Technology
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- Bjork, Anders (författare)
- IVL Swedish Environm Res Inst, Stockholm, Sweden,IVL Swedish Environmental Research Institute, Sweden.
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- Zambrano, Jesus (författare)
- Mälardalens högskola,Framtidens energi
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- Carlsson, Bengt (författare)
- Uppsala universitet,Reglerteknik,Avdelningen för systemteknik,Uppsala Univ, Uppsala, Sweden,Uppsala University, Sweden,Division of Systems and Control, Department of Information Technology
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(creator_code:org_t)
- 2018-08-22
- 2018
- Engelska.
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Ingår i: Water Science and Technology. - : IWA Publishing. - 0273-1223 .- 1996-9732. ; 78:5, s. 1034-1044
- Relaterad länk:
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https://iwaponline.c...
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https://urn.kb.se/re...
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https://doi.org/10.2...
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https://urn.kb.se/re...
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Abstract
Ämnesord
Stäng
- Biofilm fouling is known to impact the data quality of sensors, but little is known about the exact effects. We studied the effects of artificial and real biofilm fouling on dissolved oxygen (DO) sensors in full-scale water resource recovery facilities, and how this can automatically be detected. Biofilm fouling resulted in different drift direction and bias magnitudes for optical (OPT) and electrochemical (MEC) DO sensors. The OPT-sensor was more affected by biofilm fouling compared to the MEC-sensor, especially during summer conditions. A bias of 1 mg/L was detected by analysing the impulse response (IR) of the automatic air cleaning system in the DO sensor. The IR is an effect of a temporal increase in DO concentration during the automatic air cleaning. The IRs received distinct pattern changes that were matched with faults including: biofilm fouling, disturbances in the air supply to the cleaning system, and damaged sensor membrane, which can be used for fault diagnosis. The results highlight the importance of a condition-based sensor maintenance schedule in contrast to fixed cleaning intervals. Further, the results stress the importance of understanding and detecting bias due to biofilm fouling, in order to maintain a robust and resource-efficient process control.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Annan elektroteknik och elektronik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Other Electrical Engineering, Electronic Engineering, Information Engineering (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Naturresursteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Environmental Engineering (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Miljöbioteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Environmental Biotechnology (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Samhällsbyggnadsteknik -- Vattenteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Civil Engineering -- Water Engineering (hsv//eng)
Nyckelord
- biofilm fouling
- condition-based maintenance
- dissolved oxygen sensor
- fault detection
- wastewater
- Energy- and Environmental Engineering
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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