Using multivariate regression techniques to analyse the performance of a steam heated drying process

This paper explores the use of a multivariate statistics approach to monitor and diagnose the performance of a steam heated drying process. The results presented in this paper are a first stage investigation into the capabilities and limitations of these methods when applied to this particular proce...

Full description

Saved in:
Bibliographic Details
Published in2005 International Conference on Industrial Electronics and Control Applications pp. 6 pp. - 6
Main Authors Wade, M.J., Balderud, J.
Format Conference Proceeding
LanguageEnglish
Published IEEE 2005
Subjects
Industrial control
Monitoring
Multivariate regression
Paper making
Paper making machines
Performance analysis
Predictive models
Principal component analysis
Statistical analysis
Statistics
Online AccessGet full text
ISBN9780780394193
0780394194
DOI10.1109/ICIECA.2005.1644377

Cover

More Information
Summary:This paper explores the use of a multivariate statistics approach to monitor and diagnose the performance of a steam heated drying process. The results presented in this paper are a first stage investigation into the capabilities and limitations of these methods when applied to this particular process. The results show that, despite the non-linear behaviour of the drier process, the model predictions correspond well with the process measurements. The results also indicate ability to detect process failures, however, accurate diagnosis of the failures remains a subject for future studies
ISBN:9780780394193
0780394194
DOI:10.1109/ICIECA.2005.1644377