Monitoring a paperboard machine using multivariate statistical process control-Reference-Cited by-同舟云学术

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Monitoring a paperboard machine using multivariate statistical process control

Published:2004-09 Issue:1 Volume:73 Page:3-6
ISSN:0169-7439
Container-title:Chemometrics and Intelligent Laboratory Systems
language:en
Short-container-title:Chemometrics and Intelligent Laboratory Systems

Author:

Skoglund Anders,Brundin Anders,Mandenius Carl-Fredrik

Publisher

Elsevier BV

Subject

Spectroscopy,Process Chemistry and Technology,Computer Science Applications,Software,Analytical Chemistry

Reference19 articles.

1. Predicting the Performance of Soft Sensors as a Route to Low Cost Automation

2. Comparison Between Linear and Nonlinear Prediction Models for Monitoring of a Paperboard Machine

3. Fluorescence analysis of paper pulps

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Using machine learning to predict paperboard properties – a case study;Nordic Pulp & Paper Research Journal;2022-10-14

2. In-Depth Evaluation of Data Collected During a Continuous Pharmaceutical Manufacturing Process: A Multivariate Statistical Process Monitoring Approach;Journal of Pharmaceutical Sciences;2019-01

3. Early defect identification: application of statistical process control methods;Journal of Quality in Maintenance Engineering;2008-08-15

4. Detection, Diagnosis and Root Cause Analysis of Sheet-Break in a Pulp and Paper Mill with Economic Impact Analysis;The Canadian Journal of Chemical Engineering;2008-05-19

5. Multivariate statistical process control charts: an overview;Quality and Reliability Engineering International;2007

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