SYSTEMATIC APPROACH TO MODEL-BASED DATA SURVEY

Ari Isokangas, Mika Ruusunen, Kauko Leiviskä

Abstract

A framework for surveying multivariate process data is presented. Systematic procedure utilises linear model candidates constructed in sliding data windows of varying length, to determine the usefulness of data segments for process identification. The discussed survey approach was applied to an industrial wood debarking data, enabling the study of process variables and conditions affecting the wood losses. In addition, main process interactions and delays were easily discovered from the structures of the interpretable linear model candidates. The analysis can thus provide valuable information also for process modelling and control.

References

  1. Abonyi, J., R. Babuška and B. Feil, 2003. Structure selection for nonlinear input-output models based on fuzzy cluster analysis. IEEE International Conference on Fuzzy Systems, v 1, pp. 464-469
  2. Anctil, F., C. Perrin and V. Andréassian, 2004. Impact of the length of observed records on the performance of ANN and conceptual parsimonious rainfall-runoff forecasting models, Environmental Modelling & Software, 19, pp. 357-368.
  3. Isokangas A. and K. Leiviskä, 2005. Minimising wood losses of drum debarking. Accepted to Paper and Timber magazine.
  4. Kocjancic R. and J. Zupan, 2000. Modelling of the river flowrate: the influence of the training set selection, Chemometrics and Intelligent Laboratory Systems, 54, pp. 21-34.
  5. Linkens, D.A. and M.-Y. Chen, 1999. Input selection and partition validation for fuzzy modelling using neural network. Fuzzy Sets and Systems, 107, pp. 299-308.
  6. Ljung, L., 1999. System identification: theory for the use. Prentice hall, Englewood cliffs, NJ.
  7. Luo, W. and S.A. Billings, 1995. Adaptive model selection and estimation for nonlinear systems using a sliding data window, Signal Processing, 46, pp. 179- 202.
  8. Mendes, E.M.A.M and S.A. Billings, 2001. An alternative solution to the model structure selection problem. IEEE Transactions on Systems, Man, and Cybernetics Part A: Systems and Humans, 31, pp. 597-608.
  9. Näsi, J., A. Isokangas and E. Juuso, 2001. Klusterointi kuorimon puuhäviöiden mallintamisessa. ISBN 951- 42-5894-0.
  10. Prudêncio, R.B.C., Ludermir T.B. and de Carvalho F.A.T., 2004. A Modal Symbolic Classifier for selecting time series models, Pattern Recognition Letters, 25, pp. 911-921.
  11. Pyle, D., 1999. Data Preparation for Data Mining. Morgan Kaufmann, San Francisco, California.
  12. Simon, G., J Schoukens and Y. Rolain, 2000. Automatic model selection for linear time invariant systems, Proceedings of the12th IFAC Symposium on System Identification, SYSID, Santa Barbara, CA, USA, 21- 23 June 2000, Vol. I., pp. 379-384.
  13. Šindelár, R., 2004. Input selection for fuzzy modelling. Proceedings of the 2nd IFAC Workshop on Advanced Fuzzy/Neural Control, Oulu, Finland, pp. 13-18.
  14. Sugeno, M. and G. Kang, 1988. Structure identification of fuzzy model. Fuzzy Sets and Systems, 28, pp. 15-33.
  15. Söderström, T. and P. Stoica, 1988. System identification, Englewood cliffs, NJ. Prentice Hall.
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Paper Citation


in Harvard Style

Isokangas A., Ruusunen M. and Leiviskä K. (2005). SYSTEMATIC APPROACH TO MODEL-BASED DATA SURVEY . In Proceedings of the Second International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO, ISBN 972-8865-31-7, pages 60-65. DOI: 10.5220/0001165600600065


in Bibtex Style

@conference{icinco05,
author={Ari Isokangas and Mika Ruusunen and Kauko Leiviskä},
title={SYSTEMATIC APPROACH TO MODEL-BASED DATA SURVEY},
booktitle={Proceedings of the Second International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO,},
year={2005},
pages={60-65},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001165600600065},
isbn={972-8865-31-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Second International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO,
TI - SYSTEMATIC APPROACH TO MODEL-BASED DATA SURVEY
SN - 972-8865-31-7
AU - Isokangas A.
AU - Ruusunen M.
AU - Leiviskä K.
PY - 2005
SP - 60
EP - 65
DO - 10.5220/0001165600600065