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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Detaylı Bibliyografya
Yayımlandı:AIChE J
Asıl Yazarlar: Feng, Jianyuan, Hajizadeh, Iman, Yu, Xia, Rashid, Mudassir, Samadi, Sediqeh, Sevil, Mert, Hobbs, Nicole, Brandt, Rachel, Lazaro, Caterina, Maloney, Zacharie, Littlejohn, Elizabeth, Quinn, Laurie, Cinar, Ali
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: 2018
Konular:
Article
Online Erişim: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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