Al’manac of Modern Metrology, № 1 (45) 2026, pages 21–30

EDN: ZPECRN

A method for detecting metrological failures of measuring channels in automated information and measurement systems of commercial accounting

Author(s): Anna S. Baklanova, Vladimir S. Krylov, Valery R. Puzdrin, Elena A. Romanova

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Abstract

The article deals with the issue of detecting metrological failures of measuring channels in the Automated Information Measurement System for Commercial Electricity Metering (AIMS CEM) based on the correlation coefficient of the actual and allowable imbalance. The method is based on the analysis of balance ratios applied to closed-type electric power systems. As such a closed electric power system, the article uses mathematical modeling on a single bus system of a 110 kV substation fully equipped with electricity metering using measuring channels of the AIMS CEM. The balance ratio is used as an integral control and definition of the criterion for detecting a metrological failure. The proposed method is used to increase the reliability of electricity measurement results using automated commercial accounting systems.

Keywords

Automated Information Measurement System for Commercial Electricity Metering, electricity balance, measurement accounting complex, intelligent electricity metering device, metrological failure


References

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For citation

Baklanova A.S., Krylov V.S., Puzdrin V.R., Romanova E.A. А method for detecting metrological failures of measuring channels in automated information and measurement systems of commercial accounting. Almanac of Modern Metrology. 2026; 45 (1): 21–30.


Financing

The authors declare that they received no external financial support for this study.

Contribution of the authors

A.S. Baklanova — collection and analysis of data for testing the model. V.S. Krylov — preparation of the manuscript of the article. V.R. Puzdrin — development of a mathematical model. E.A. Romanova — testing the method on a numerical model.

Conflict of interest

The authors declare that they have no potential conflict of interest related to the research presented in this article.


About the Authors

“SibEtalonResurs” LLC, Novosibirsk, Russia

Anna S. Baklanova
belih2011@yandex.ru
ORCID: 0009-0004-3223-022X

West-Siberian Branch of FSUE “VNIIFTRI”, Novosibirsk, Russia

Vladimir S. Krylov
krulov@sniim.ru
ORCID: 0009-0005-3539-1501
SPIN ID: 1434-4056

Elena A. Romanova
re@sniim.ru
ORCID: 0009-0007-3331-2405

“RiM” JSC, Novosibirsk, Russia

Valery R. Puzdrin
puzdrin@zao-rim.ru


This work is licensed under a Creative Commons Attribution 4.0 License (CC BY 4.0)

©  Anna S. Baklanova, Vladimir S. Krylov, Valery R. Puzdrin, Elena A. Romanova, 2026

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