Matches in SemOpenAlex for { <https://semopenalex.org/work/W4289878239> ?p ?o ?g. }
Showing items 1 to 93 of
93
with 100 items per page.
- W4289878239 endingPage "197" @default.
- W4289878239 startingPage "192" @default.
- W4289878239 abstract "Atmospheric residue desulfurization (RDS) is used to treat the invaluable atmospheric residue from crude distillation column before it is sent to the fluid catalytic cracking (FCC) process. RDS is operated by increasing the operation temperature of catalysts to keep the desirable conversion as the catalyst aging progresses. To use the catalyst as long as possible while satisfying the criterion on the impurities in the RDS product, we need to predict the conversion based on the operation histories. In this study, we propose neural network models for predicting removal amount of the impurities in RDS. As the temperature, hydrogen flow rate, and impurities feed flow rates are selected as the features for neural network models. In addition, an approximated aging factor for the catalyst is considered with the cumulative amount of treated impurities and trainable parameters. The neural networks are trained in a moving horizon manner and tested using the real plant data during 123 days. If we train the neural networks in a general way, the trained model shows unrealistic results that are physically and chemically unexpected. When we increase the temperature with the other factors fixed, the catalyst conversion predicted by the trained neural network decreases. This absurd prediction is because the model is trained using the data where the temperature increases when the conversion is low with aging catalyst. To address this issue, we use a clipping method that the weights of neural networks are restricted to positive values. This strategy always ensures the increasing (decreasing) tendencies of the removal amount with respective to the increase (decrease) of the temperature and hydrogen flow rate." @default.
- W4289878239 created "2022-08-05" @default.
- W4289878239 creator A5004895269 @default.
- W4289878239 creator A5013391365 @default.
- W4289878239 creator A5044553288 @default.
- W4289878239 creator A5076744494 @default.
- W4289878239 date "2022-01-01" @default.
- W4289878239 modified "2023-10-18" @default.
- W4289878239 title "Neural network model for atmospheric residue desulfurization conversion prediction using real plant data" @default.
- W4289878239 cites W1969222518 @default.
- W4289878239 cites W1980042765 @default.
- W4289878239 cites W2000944013 @default.
- W4289878239 cites W2048546472 @default.
- W4289878239 cites W2062618937 @default.
- W4289878239 cites W2076461751 @default.
- W4289878239 cites W2485511100 @default.
- W4289878239 cites W2791834459 @default.
- W4289878239 cites W98392287 @default.
- W4289878239 doi "https://doi.org/10.1016/j.ifacol.2022.07.443" @default.
- W4289878239 hasPublicationYear "2022" @default.
- W4289878239 type Work @default.
- W4289878239 citedByCount "1" @default.
- W4289878239 countsByYear W42898782392023 @default.
- W4289878239 crossrefType "journal-article" @default.
- W4289878239 hasAuthorship W4289878239A5004895269 @default.
- W4289878239 hasAuthorship W4289878239A5013391365 @default.
- W4289878239 hasAuthorship W4289878239A5044553288 @default.
- W4289878239 hasAuthorship W4289878239A5076744494 @default.
- W4289878239 hasBestOaLocation W42898782391 @default.
- W4289878239 hasConcept C121332964 @default.
- W4289878239 hasConcept C127413603 @default.
- W4289878239 hasConcept C154945302 @default.
- W4289878239 hasConcept C161790260 @default.
- W4289878239 hasConcept C172120300 @default.
- W4289878239 hasConcept C178790620 @default.
- W4289878239 hasConcept C185592680 @default.
- W4289878239 hasConcept C186060115 @default.
- W4289878239 hasConcept C204030448 @default.
- W4289878239 hasConcept C21880701 @default.
- W4289878239 hasConcept C2781338088 @default.
- W4289878239 hasConcept C31052017 @default.
- W4289878239 hasConcept C39432304 @default.
- W4289878239 hasConcept C41008148 @default.
- W4289878239 hasConcept C43617362 @default.
- W4289878239 hasConcept C50644808 @default.
- W4289878239 hasConcept C57879066 @default.
- W4289878239 hasConcept C68000547 @default.
- W4289878239 hasConcept C71987851 @default.
- W4289878239 hasConcept C86803240 @default.
- W4289878239 hasConceptScore W4289878239C121332964 @default.
- W4289878239 hasConceptScore W4289878239C127413603 @default.
- W4289878239 hasConceptScore W4289878239C154945302 @default.
- W4289878239 hasConceptScore W4289878239C161790260 @default.
- W4289878239 hasConceptScore W4289878239C172120300 @default.
- W4289878239 hasConceptScore W4289878239C178790620 @default.
- W4289878239 hasConceptScore W4289878239C185592680 @default.
- W4289878239 hasConceptScore W4289878239C186060115 @default.
- W4289878239 hasConceptScore W4289878239C204030448 @default.
- W4289878239 hasConceptScore W4289878239C21880701 @default.
- W4289878239 hasConceptScore W4289878239C2781338088 @default.
- W4289878239 hasConceptScore W4289878239C31052017 @default.
- W4289878239 hasConceptScore W4289878239C39432304 @default.
- W4289878239 hasConceptScore W4289878239C41008148 @default.
- W4289878239 hasConceptScore W4289878239C43617362 @default.
- W4289878239 hasConceptScore W4289878239C50644808 @default.
- W4289878239 hasConceptScore W4289878239C57879066 @default.
- W4289878239 hasConceptScore W4289878239C68000547 @default.
- W4289878239 hasConceptScore W4289878239C71987851 @default.
- W4289878239 hasConceptScore W4289878239C86803240 @default.
- W4289878239 hasFunder F4320322010 @default.
- W4289878239 hasFunder F4320322030 @default.
- W4289878239 hasFunder F4320322120 @default.
- W4289878239 hasFunder F4320324625 @default.
- W4289878239 hasIssue "7" @default.
- W4289878239 hasLocation W42898782391 @default.
- W4289878239 hasOpenAccess W4289878239 @default.
- W4289878239 hasPrimaryLocation W42898782391 @default.
- W4289878239 hasRelatedWork W2019287170 @default.
- W4289878239 hasRelatedWork W2036168478 @default.
- W4289878239 hasRelatedWork W2067628371 @default.
- W4289878239 hasRelatedWork W2329127068 @default.
- W4289878239 hasRelatedWork W2351745997 @default.
- W4289878239 hasRelatedWork W2381984973 @default.
- W4289878239 hasRelatedWork W2392151548 @default.
- W4289878239 hasRelatedWork W2748952813 @default.
- W4289878239 hasRelatedWork W2899084033 @default.
- W4289878239 hasRelatedWork W1565137972 @default.
- W4289878239 hasVolume "55" @default.
- W4289878239 isParatext "false" @default.
- W4289878239 isRetracted "false" @default.
- W4289878239 workType "article" @default.