Skip to main content
SpringerLink
Log in

Algorithmic possibilities of reducing the measurement time in dissolved oxygen analyzers

  • Water Treatment and Water Chemistry
  • Published:
Thermal Engineering Aims and scope Submit manuscript

Abstract

The possibility of using algorithms for predicting transients in measurement instruments is considered, in particular, in dissolved oxygen analyzers, instruments used for measuring mass concentrations in the microgram range. The objective that is set forth is to reduce the time taken to evaluate oxygen concentration during a transient from high to low concentrations. A signal processing algorithm is proposed using which it is possible to produce a new transient for obtaining current oxygen concentration values that converge to their steady values within a shorter period of time. The effectiveness of the proposed algorithm is studied taking as an example three typical sensors having significantly different response times. It is shown that for relatively slow sensors the transient in which may last for a few hundreds of seconds, an essentially shorter (by up to a factor of 2) duration of measurement procedure can be achieved.

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

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. O. I. Lobanok and M. V. Fedoseev, “Automated chemical monitoring in new projects of nuclear power plant units,” Therm. Eng. 60(7), 472 (2013).

    Article  Google Scholar 

  2. VR29.00.000RE: A MARK-302T Dissolved Oxygen Analyzer (Vzor, Nizhni Novgorod, 2013), http://www.vzor.nnov.ru/doc/302t-re.pdf.

  3. S. A. Aivazyan and V. S. Mkhitaryan, Applied Statistics and Fundamentals of Econometrics: A Handbook for Higher Schools (UNITY, Moscow, 1998) [in Russian].

    Google Scholar 

  4. V. A. Kolemaev and V. N. Kalinina, Probability Theory and Mathematical Statistics: A Handbook, Ed. by V. A. Kolemaev (INFRA-M, Moscow, 1997) [in Russian].

  5. G. S. Magdanov, “A digital predicting and differentiating device,” RF Patent No. 2450343, Izobret. Polezn. Modeli, No. 13 (2012).

    Google Scholar 

  6. G. S. Petrichenko, L. N. Dudnik, M. Yu. Srur, and D. N. Shabel’nik, “A device for predicting the technical state of systems,” RF Patent No. 2409827, Izobret. Polezn. Modeli, No. 2 (2011).

    Google Scholar 

  7. A. E. Shelest, Microcalculators in Physics (Nauka, Moscow, 1988) [in Russian].

    Google Scholar 

  8. SO (Industry Standard) 153-34.20501-2003: Operational Regulations for Electric and Thermal Power Stations in the Russian Federation (SPO ORGRES, Moscow, 2003) [in Russian].

Download references

Author information

Authors and Affiliations

  1. Vzor, P.O.B. 253, Nizhni Novgorod, 603106, Russia

    A. K. Rodionov & P. N. Markichev

Authors
  1. A. K. Rodionov
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. P. N. Markichev
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to P. N. Markichev.

Additional information

Original Russian Text © A.K. Rodionov, P.N. Markichev, 2014, published in Teploenergetika.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Rodionov, A.K., Markichev, P.N. Algorithmic possibilities of reducing the measurement time in dissolved oxygen analyzers. Therm. Eng. 61, 508–513 (2014). https://doi.org/10.1134/S0040601514070088

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1134/S0040601514070088

Keywords

Search

Navigation