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Multi-Model Sensor Fault Detection and Data Reconciliation: A Case Study with Glucose Concentration Sensors for Diabetes
Erroneous information from sensors affect process monitoring and control. An algorithm with multiple model identification methods will improve the sensitivity and accuracy of sensor fault detection and data reconciliation (SFD&DR). A novel SFD&DR algorithm with four types of models including...
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| Publicado no: | AIChE J |
|---|---|
| Main Authors: | , , , , , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6707739/ https://ncbi.nlm.nih.gov/pubmed/31447487 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/aic.16435 |
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