Advertisement

Measurement Techniques

, Volume 58, Issue 12, pp 1354–1359 | Cite as

Interlaboratory Proficiency Tests of the Quality Parameters of Fuels as an Effective Approach to Intralaboratory Inspection

  • E. V. Ermakova
  • E. N. Korchagina
  • M. B. Prudaev
Article
  • 29 Downloads

The many years of experience gained from the work of the Laboratory of Calorimetry of the Mendeleev All-Russia Research Institute of Metrology as a provider of interlaboratory proficiency tests of the quality parameters of coal and petroleum derivatives (residual fuel oil) is considered. A list of the inspection indicators of samples of coal and residual fuel oil is presented. A procedure for preparation and delivery of samples and a program for conducting tests are set forth, and an algorithm for statistical processing of the results of measurements obtained from participating laboratories is considered.

Keywords

interlaboratory proficiency tests coal residual fuel oil 

References

  1. 1.
    RMG 103–2010, GSI. Verification of the Expertise of Testing (measurement) Laboratories That Perform Tests of Substances, Synthetic Materials, and Bodies in the Environment (in terms of composition and physicochemical properties) by Means of Interlaboratory Proficiency Tests.Google Scholar
  2. 2.
    E. N. Korchagina, E. V. Yermakova, and V. P. Varganov, “Calorimetry of the combustion of fuels,” Mir Izmer., No. 2, 32–39 (2012).Google Scholar
  3. 3.
    E. N. Korchagina, E. V. Yermakova, T. A. Motsak, et al., “Problem issues in the performance of interlaboratory proficiency tests in measurements at coal chemistry laboratories,” Metrol. Pribory, No. 2, 58–63 (2014).Google Scholar
  4. 4.
    E. N. Korchagina, E. V. Yermakova, L. A. Utkina, and Ye. S. Govorova, “Summary results of interlaboratory proficiency tests of the quality indicators of coal,” Ugol’ Ukrainy, No. 5, 42–46 (2014).Google Scholar
  5. 5.
    GOST 25543–88, Brown, Rock, and Anthracite Coal. Classification in Terms of Genetic and Technological Parameters.Google Scholar
  6. 6.
    GOST R ISO 13528–2010, Statistical Methods. Use in Experimental Verification of Expertise by Means of Interlaboratory Proficiency Tests.Google Scholar
  7. 7.
    GOST R ISO 5725-5–2002, Accuracy (correctness and precision) of Methods and Results of Measurements. Part 5. Alternative Methods of Determining the Precision of a Standard Method of Measurement.Google Scholar
  8. 8.
    GOST R ISO 5726-6–2002, Accuracy (correctness and precision) of Methods and Results of Measurements. Part 6. Use of Values of Accuracy in Practical Applications.Google Scholar

Copyright information

© Springer Science+Business Media New York 2016

Authors and Affiliations

  • E. V. Ermakova
    • 1
  • E. N. Korchagina
    • 1
  • M. B. Prudaev
    • 1
  1. 1.Mendeleev All-Russia Research Institute of Metrology (VNIIM)St. PetersburgRussia

Personalised recommendations