On-line estimation of the aerobic phase length for partial nitrification processes in SBR based on features extraction and SVM classification
Author
dc.contributor.author
Jaramillo, Francisco
Author
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Orchard Concha, Marcos
Author
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Muñoz, Carlos
Author
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Antileo, Christian
Author
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Sáez, Doris
Author
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Espinoza, Pablo
Admission date
dc.date.accessioned
2019-05-31T15:18:59Z
Available date
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2019-05-31T15:18:59Z
Publication date
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2018
Cita de ítem
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Chemical Engineering Journal, Volumen 331, 2018, Pages 114-123
Identifier
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13858947
Identifier
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10.1016/j.cej.2017.07.185
Identifier
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https://repositorio.uchile.cl/handle/2250/169289
Abstract
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We present a strategy for the on-line estimation of the aerobic reaction phase length for a partial nitrification process with pH and dissolved oxygen closed-loop control. To overcome existing drawbacks associated to partial nitrification (e.g., non-linearities and time-variant behaviors), our strategy is based on feature extraction over manipulated variables to identify interesting patterns associated to the end-point of nitrification. We use a support vector machine (SVM) classifier as a decision tool to determine the end-point of the aerobic phase. A database of lab-scale sequencing batch reactor (SBR) cycles selected from ten months of operation was used to train and test the proposed decision-making strategy. Results for all 533 SBR cycles showed 100% correct classifications. Most aerobic phase lengths in the analyzed database had a reduction time around 20 min, although time reductions greater than 60 min were also achieved.