Skip to main content
SpringerLink
Log in

On-Line Extraction of Qualitative Movements for Monitoring Process Plants

  • Conference paper
Knowledge-Based Intelligent Information and Engineering Systems (KES 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4252))

Abstract

Qualitative representation of signal trend is useful in various applications to model temporal evolution. Monitoring and decision support of process plant operation is one of the typical application examples. Graphical representation of two temporal signals in a two variables plane often characterizes special features of data. This paper presents an effective online method to extract qualitative representation of movements in a two variables plane. The method is applied to a diagnosis of a control valve in an industrial plant.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Dash, S., Maurya, M.R., Venkatasubramanian, V.: A novel interval-halving framework for automated identification of process trends. AIChE J 50, 149–162 (2004)

    Article  Google Scholar 

  2. Charbonnier, S., Garcia-Beltan, C., Cadet, C., Gentil, S.: Trends extraction and analysis for complex system monitoring and decision support. Eng. App. Artif. Intel. 18, 21–36 (2005)

    Article  Google Scholar 

  3. Yamashita, Y.: An automatic method for detection of valve stiction in process control loops. Cont. Eng. Pract. 14, 503–510 (2006)

    Article  Google Scholar 

  4. Moussaoui, S., Brie, D., Richard, A.: Regularization aspect in continuous-time model identification. Automatica 41, 197–208 (2005)

    Article  MATH  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Tohoku University, Sendai, 980-8579, Japan

    Yoshiyuki Yamashita

Authors
  1. Yoshiyuki Yamashita
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. School of Design, Engineering and Computing, Bournemouth University, UK

    Bogdan Gabrys

  2. Centre for SMART Systems, School of Environment and Technology, University of Brighton, BN2 4GJ, Brighton, UK

    Robert J. Howlett

  3. School of Electrical and Information Engineering, Knowledge Based Intelligent Engineering Systems Centre, University of South Australia, SA, 5095, Mawson Lakes, Australia

    Lakhmi C. Jain

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Yamashita, Y. (2006). On-Line Extraction of Qualitative Movements for Monitoring Process Plants. In: Gabrys, B., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2006. Lecture Notes in Computer Science(), vol 4252. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11893004_77

Download citation

  • DOI: https://doi.org/10.1007/11893004_77

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-46537-9

  • Online ISBN: 978-3-540-46539-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation