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.

Conference

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

Fingerprint

Drying
Steam
Statistics

Keywords

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

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.
Balderud, J. ; Wade, M.J. / 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.6 p.
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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.",
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author = "J. Balderud and M.J. Wade",
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Balderud, J & Wade, MJ 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, 29/11/05 - 2/12/05, .

Using multivariate regression techniques to analyse the performance of a steam heated drying process. / Balderud, J.; Wade, M.J.

2005. Paper presented at IEEE International Conference on Industrial Electronics and Control Applications, Quito, Ecuador.

Research output: Contribution to conferencePaper

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AU - Wade, M.J.

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N2 - 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.

AB - 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.

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M3 - Paper

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