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

Balderud, J. and Wade, M.J. (2005) Using multivariate regression techniques to analyse the performance of a steam heated drying process. In: IEEE International Conference on Industrial Electronics and Control Applications, 2005-11-29 - 2005-12-02, Quito.

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Abstract

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.

Item type: Conference or Workshop Item (Paper)
ID code: 11713
Keywords: multivariate regression techniques , steam heated drying process, multivariate statistics, Electrical engineering. Electronics Nuclear engineering
Subjects: Technology > Electrical engineering. Electronics Nuclear engineering
Department: Faculty of Engineering > Electronic and Electrical Engineering
Unknown Department
Related URLs:
    Depositing user: Strathprints Administrator
    Date Deposited: 28 Jul 2011 14:21
    Last modified: 09 Nov 2012 09:40
    URI: http://strathprints.strath.ac.uk/id/eprint/11713

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