Идентификация аварийных и предаварийных ситуаций при эксплуатации информационно-измерительной системы диагностики информативных параметров электрических цепей
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Научный журнал Моделирование, оптимизация и информационные технологииThe scientific journal Modeling, Optimization and Information Technology
Online media
issn 2310-6018

Identification of accident and pre-accident cases during the operation of the data-measuring system for diagnosing informative parameters of electrical circuits

Saifullin R.T.   idBychek V.S.

UDC 621.317
DOI: 10.26102/2310-6018/2023.42.3.008

  • Abstract
  • List of references
  • About authors

The article considers the issues of using new modern data-measuring system components with improved metrological parameters for diagnosing electrical circuit informative parameters. Development and design results of the data-measuring system that provides an ability to measure the entire set of electric power parameters within a time frame shorter than the input signal period are given. The system is based on the method of informative parameters definition by instantaneous voltage and current values of input and additional signals simultaneously measured once per period. Structural and functional diagrams of system components, the structure of command frames, answer frames and data frames, the choice of electronic component base are presented. The considered data-measuring system can be used in technological process management systems for controlling and testing electrical circuits and appliances. An electrical circuit has been developed that makes it possible to implement the operation logic and exchange protocols for facilitating data-measuring system part interaction which includes the use of Serial Peripheral Interface for data transfer. A measurement error estimation due to the input signal difference from the harmonic model is calculated with the method of estimating the error of the parameter measurement results as a function with approximately given arguments and with an error corresponding to the input signal difference from the model.

1. Vinogradova N.A. Foundations of data measurement system design. Moscow, Vysshaya shkola; 2004. 267 p. (In Russ.).

2. Novoselov O.N., Fomin O.F. Foundations of data measurement system theory and computation. Moscow, Mashinostroеniе; 1991. 336 p. (In Russ.).

3. Melent’ev V.S., Ivanov Yu.M., Muratova V.V. Synthesis and analysis of methods for operational measurement of periodic processes based on additional signal formation. In: Complex systems: control and modelling problems: Proceedings of XVI International conference. Institute of complex system management. Samara, Samara Research Center at the Russian Academy of Science; 2014. p. 717–722. (In Russ.).

4. Melent’ev V.S., Batischev V.I. Approximation methods and systems of periodic signal measurement and management. Moscow, PHYZMATLIT; 2011. 240 p. (In Russ.).

5. Lange P.K., Yaroslavkina E.E. Approximation methods and means of measurement signal processing. Dusseldorf. Germany, LAP LAMBERT Academic Publishing; 2017. 244 p. (In Russ.).

6. Melent’ev V.S., Yaroslavkina E.E., Pozdeeva E.V., Nefed’ev D.I. Reduction of measurement time through the use of the instantaneous values of input and additional harmonic signals. Izmerenie. Monitoring. Upravlenie. Kontrol' = Measuring. Monitoring. Management. Control. 2016;15(1):48–55. (In Russ.).

7. Melent’ev V.S. Improvements in methods for measuring the parameters of harmonic signals based on spatially separated instantaneous values. Izmeritel`naya Tekhnika. 2017;1:16–18. (In Russ.).

8. Shneerson E.M. Digital power system protection. Moscow, Enеrgoatomizdat; 2007. 549 p. (In Russ.).

9. Lapin A.A. Interfaces. Choice and implementation. Moscow, Tеkhnosphеra; 2005. 167 p. (In Russ.)

10. Afanas’ev I.I. Components of CAN interface support by Microchip. Komponenty i tekhnologii. 2003;35(9):78–80. (In Russ.).

Saifullin Rauhat Talgatovich
Doctor of Technical Sciences Professor

eLibrary |

Samara State Technical University

The Russian Federation, Samara

Bychek Victor Stanislavovich


Samara State Technical University

Samara, The Russian Federation

Keywords: data-measuring system, all-purpose measuring converters, additional values, instantaneous values, phase-shifting units, serial peripheral interface, synchronous data transfer format

For citation: Saifullin R.T. Bychek V.S. Identification of accident and pre-accident cases during the operation of the data-measuring system for diagnosing informative parameters of electrical circuits. Modeling, Optimization and Information Technology. 2023;11(3). Available from: https://moitvivt.ru/ru/journal/pdf?id=1390 DOI: 10.26102/2310-6018/2023.42.3.008 (In Russ).


Full text in PDF

Received 29.05.2023

Revised 10.07.2023

Accepted 28.07.2023

Published 31.07.2023