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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Shranjeno v:
Bibliografske podrobnosti
izdano v:AIChE J
Main Authors: 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
Format: Artigo
Jezik:Inglês
Izdano: 2018
Teme:
Article
Online dostop: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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