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

J. Balderud, M.J. Wade

Research output: Contribution to conferencePaper

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.
Original languageEnglish
Number of pages6
Publication statusPublished - 2005
EventIEEE International Conference on Industrial Electronics and Control Applications - Quito, Ecuador
Duration: 29 Nov 20052 Dec 2005

Conference

ConferenceIEEE International Conference on Industrial Electronics and Control Applications
Abbreviated titleICIECA 2005
CountryEcuador
CityQuito
Period29/11/052/12/05

Keywords

  • multivariate regression techniques
  • steam heated drying process
  • multivariate statistics

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  • Cite this

    Balderud, J., & Wade, M. J. (2005). Using multivariate regression techniques to analyse the performance of a steam heated drying process. Paper presented at IEEE International Conference on Industrial Electronics and Control Applications, Quito, Ecuador.