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Theunissen, Carl Daniel, Bradshaw, Steven Martin, Auret, Lidia, Louw, Tobias Muller (2021) One-Dimensional Convolutional Auto-Encoder for Predicting Furnace Blowback Events from Multivariate Time Series Process Data—A Case Study. Minerals, 11 (10) 1106 doi:10.3390/min11101106

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Reference TypeJournal (article/letter/editorial)
TitleOne-Dimensional Convolutional Auto-Encoder for Predicting Furnace Blowback Events from Multivariate Time Series Process Data—A Case Study
JournalMinerals
AuthorsTheunissen, Carl DanielAuthor
Bradshaw, Steven MartinAuthor
Auret, LidiaAuthor
Louw, Tobias MullerAuthor
Year2021 (October 9)Volume11
Issue10
PublisherMDPI AG
URL
Download URLhttps://www.mdpi.com/2075-163X/11/10/1106/pdf?version=1634042103
DOIdoi:10.3390/min11101106Search in ResearchGate
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Mindat Ref. ID13421551Long-form Identifiermindat:1:5:13421551:0
GUID0
Full ReferenceTheunissen, Carl Daniel, Bradshaw, Steven Martin, Auret, Lidia, Louw, Tobias Muller (2021) One-Dimensional Convolutional Auto-Encoder for Predicting Furnace Blowback Events from Multivariate Time Series Process Data—A Case Study. Minerals, 11 (10) 1106 doi:10.3390/min11101106
Plain TextTheunissen, Carl Daniel, Bradshaw, Steven Martin, Auret, Lidia, Louw, Tobias Muller (2021) One-Dimensional Convolutional Auto-Encoder for Predicting Furnace Blowback Events from Multivariate Time Series Process Data—A Case Study. Minerals, 11 (10) 1106 doi:10.3390/min11101106
In(2021, October) Minerals Vol. 11 (10) MDPI AG

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