The qualitative parameters of chemical processes being unmeasurable by flow devices: Real-time estimation methods | Automation and Remote Control Skip to main content
Log in

The qualitative parameters of chemical processes being unmeasurable by flow devices: Real-time estimation methods

  • Automation in Industry
  • Published:
Automation and Remote Control Aims and scope Submit manuscript

Abstract

This paper considers virtual measurement methods for the qualitative parameters of chemical processes to-be-used in industrial automation systems. The specific features of some virtual measurement methods, corresponding algorithms and application domains are outlined and analyzed.

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

Access this article

Subscribe and save

Springer+ Basic
¥17,985 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price includes VAT (Japan)

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Eliseeva, I., Ekonometrika (Econometrics), Moscow: Finansy i Statistika, 2007.

    Google Scholar 

  2. Box, G.E.P. and Jenkins, G.M., Time Series Analysis: Forecasting and Control, San Francisco: Holden-Day, 1970. Translated under the title Analiz vremennykh ryadov. Prognoz i upravlenie, Moscow: Mir, 1974, vol. 1.

    MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Additional information

Original Russian Text © E.A. Grebenyuk, E.L. Itskovich, 2011, published in Avtomatizatsiya v Promyshlennosti, 2011, No. 6, pp. 5–13.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Grebenyuk, E.A., Itskovich, E.L. The qualitative parameters of chemical processes being unmeasurable by flow devices: Real-time estimation methods. Autom Remote Control 74, 2093–2105 (2013). https://doi.org/10.1134/S0005117913120102

Download citation

  • Received:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1134/S0005117913120102

Keywords