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Monitoring a Second...
Monitoring a Secondary Settler Using Gaussian Mixture Models
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- Zambrano, Jesús (författare)
- Mälardalens högskola,Framtidens energi
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- Samuelsson, Oscar (författare)
- Uppsala University,IVL Swedish Environmental Research Institute
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- Carlsson, Bengt (författare)
- Uppsala University,Division of Systems and Control, Department of Information Technology
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(creator_code:org_t)
- Oulu, Finland, 2016
- 2016
- Engelska.
- Relaterad länk:
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https://urn.kb.se/re...
Abstract
Ämnesord
Stäng
- This paper presents a method for monitoring the sludge profiles of a secondary settler using a Gaussian Mixture Model (GMM). A GMM is a parametric probability density function represented as a weighted sum of Gaussian components densities. To illustrate this method, the current approach is applied using real data from a sensor measuring the sludge concentration as a function of the settler level at a wastewater treatment plant (WWTP) in Bromma, Sweden. Results suggest that the GMM approach is a feasible methodfor monitoring and detecting possible disturbances of the process and fault situations such as sensor clogging. This approach can be a valuable tool for monitoring processes with a repetitive profile.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Naturresursteknik -- Fjärranalysteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Environmental Engineering -- Remote Sensing (hsv//eng)
Nyckelord
- signal monitoring
- fault detection
- clarifier
- sludge profile
- Energy- and Environmental Engineering
- energi- och miljöteknik
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)