Developing and using measurement models to assess accuracy: using the example of measurements of the activity of ions

Oleksandr Vasilevskyi; Volodymyr Didych; Oleh Zabula; Volodymyr Sarana; Emanuel Mihai Popovici

doi:10.1109/IAICT59002.2023.10205656

Developing and using measurement models to assess accuracy: using the example of measurements of the activity of ions

Oleksandr Vasilevskyi
, Volodymyr Didych
, Oleh Zabula
, Volodymyr Sarana
, Emanuel Mihai Popovici

Research output: Chapter in Book/Report/Conference proceedings › Conference proceeding › peer-review

Abstract

Evaluating the measurement accuracy of sensors is one of the most important tasks in the development of support systems for Industry 4.0. The study of accuracy is proposed to be carried out using measurement models by expanding them into a Taylor series. From the components of the Taylor series, equations are obtained that describe the sensitivity, additive and multiplicative errors of the measuring instrument. A mathematical model is also proposed that allows you to recalculate the multiplicative and additive errors of the measuring instrument into the uncertainty. The proposed metrological models are tested on the example of the expansion of the transformation equation, which describes the operation of the means for measuring the activity of ions. In absolute units of measurement of ion activity, the multiplicative and additive errors are 0.047pX each in the measurement range from 0.2 to 7.5pX. Using proposed mathematical model for converting these errors into uncertainty, we obtained the standard type B uncertainty, which is 0.064pX.

Original language	English
Title of host publication	Proceedings of the 2023 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology, IAICT 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	125-129
Number of pages	5
ISBN (Electronic)	9798350313635
DOIs	https://doi.org/10.1109/IAICT59002.2023.10205656
Publication status	Published - 2023
Event	2023 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology, IAICT 2023 - Hybrid, Bali, Indonesia Duration: 13 Jul 2023 → 15 Jul 2023

Publication series

Name	Proceedings of the 2023 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology, IAICT 2023

Conference

Conference	2023 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology, IAICT 2023
Country/Territory	Indonesia
City	Hybrid, Bali
Period	13/07/23 → 15/07/23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Keywords

additive and multiplicative errors
assess accuracy
Industry 4.0
measurement models
Taylor series
the activity of ions
uncertainty

Access to Document

10.1109/IAICT59002.2023.10205656

Cite this

Vasilevskyi, O., Didych, V., Zabula, O., Sarana, V., & Popovici, E. M. (2023). Developing and using measurement models to assess accuracy: using the example of measurements of the activity of ions. In Proceedings of the 2023 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology, IAICT 2023 (pp. 125-129). (Proceedings of the 2023 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology, IAICT 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IAICT59002.2023.10205656

Vasilevskyi, Oleksandr ; Didych, Volodymyr ; Zabula, Oleh et al. / Developing and using measurement models to assess accuracy : using the example of measurements of the activity of ions. Proceedings of the 2023 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology, IAICT 2023. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 125-129 (Proceedings of the 2023 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology, IAICT 2023).

@inproceedings{8c89a40ebfc043e4b72820431d176310,

title = "Developing and using measurement models to assess accuracy: using the example of measurements of the activity of ions",

abstract = "Evaluating the measurement accuracy of sensors is one of the most important tasks in the development of support systems for Industry 4.0. The study of accuracy is proposed to be carried out using measurement models by expanding them into a Taylor series. From the components of the Taylor series, equations are obtained that describe the sensitivity, additive and multiplicative errors of the measuring instrument. A mathematical model is also proposed that allows you to recalculate the multiplicative and additive errors of the measuring instrument into the uncertainty. The proposed metrological models are tested on the example of the expansion of the transformation equation, which describes the operation of the means for measuring the activity of ions. In absolute units of measurement of ion activity, the multiplicative and additive errors are 0.047pX each in the measurement range from 0.2 to 7.5pX. Using proposed mathematical model for converting these errors into uncertainty, we obtained the standard type B uncertainty, which is 0.064pX.",

keywords = "additive and multiplicative errors, assess accuracy, Industry 4.0, measurement models, Taylor series, the activity of ions, uncertainty",

author = "Oleksandr Vasilevskyi and Volodymyr Didych and Oleh Zabula and Volodymyr Sarana and Popovici, \{Emanuel Mihai\}",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology, IAICT 2023 ; Conference date: 13-07-2023 Through 15-07-2023",

year = "2023",

doi = "10.1109/IAICT59002.2023.10205656",

language = "English",

series = "Proceedings of the 2023 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology, IAICT 2023",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "125--129",

booktitle = "Proceedings of the 2023 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology, IAICT 2023",

address = "United States",

}

Vasilevskyi, O, Didych, V, Zabula, O, Sarana, V & Popovici, EM 2023, Developing and using measurement models to assess accuracy: using the example of measurements of the activity of ions. in Proceedings of the 2023 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology, IAICT 2023. Proceedings of the 2023 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology, IAICT 2023, Institute of Electrical and Electronics Engineers Inc., pp. 125-129, 2023 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology, IAICT 2023, Hybrid, Bali, Indonesia, 13/07/23. https://doi.org/10.1109/IAICT59002.2023.10205656

Developing and using measurement models to assess accuracy: using the example of measurements of the activity of ions. / Vasilevskyi, Oleksandr; Didych, Volodymyr; Zabula, Oleh et al.
Proceedings of the 2023 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology, IAICT 2023. Institute of Electrical and Electronics Engineers Inc., 2023. p. 125-129 (Proceedings of the 2023 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology, IAICT 2023).

Research output: Chapter in Book/Report/Conference proceedings › Conference proceeding › peer-review

TY - GEN

T1 - Developing and using measurement models to assess accuracy

T2 - 2023 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology, IAICT 2023

AU - Vasilevskyi, Oleksandr

AU - Didych, Volodymyr

AU - Zabula, Oleh

AU - Sarana, Volodymyr

AU - Popovici, Emanuel Mihai

PY - 2023

Y1 - 2023

N2 - Evaluating the measurement accuracy of sensors is one of the most important tasks in the development of support systems for Industry 4.0. The study of accuracy is proposed to be carried out using measurement models by expanding them into a Taylor series. From the components of the Taylor series, equations are obtained that describe the sensitivity, additive and multiplicative errors of the measuring instrument. A mathematical model is also proposed that allows you to recalculate the multiplicative and additive errors of the measuring instrument into the uncertainty. The proposed metrological models are tested on the example of the expansion of the transformation equation, which describes the operation of the means for measuring the activity of ions. In absolute units of measurement of ion activity, the multiplicative and additive errors are 0.047pX each in the measurement range from 0.2 to 7.5pX. Using proposed mathematical model for converting these errors into uncertainty, we obtained the standard type B uncertainty, which is 0.064pX.

AB - Evaluating the measurement accuracy of sensors is one of the most important tasks in the development of support systems for Industry 4.0. The study of accuracy is proposed to be carried out using measurement models by expanding them into a Taylor series. From the components of the Taylor series, equations are obtained that describe the sensitivity, additive and multiplicative errors of the measuring instrument. A mathematical model is also proposed that allows you to recalculate the multiplicative and additive errors of the measuring instrument into the uncertainty. The proposed metrological models are tested on the example of the expansion of the transformation equation, which describes the operation of the means for measuring the activity of ions. In absolute units of measurement of ion activity, the multiplicative and additive errors are 0.047pX each in the measurement range from 0.2 to 7.5pX. Using proposed mathematical model for converting these errors into uncertainty, we obtained the standard type B uncertainty, which is 0.064pX.

KW - additive and multiplicative errors

KW - assess accuracy

KW - Industry 4.0

KW - measurement models

KW - Taylor series

KW - the activity of ions

KW - uncertainty

UR - https://www.scopus.com/pages/publications/85169439582

U2 - 10.1109/IAICT59002.2023.10205656

DO - 10.1109/IAICT59002.2023.10205656

M3 - Conference proceeding

AN - SCOPUS:85169439582

T3 - Proceedings of the 2023 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology, IAICT 2023

SP - 125

EP - 129

BT - Proceedings of the 2023 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology, IAICT 2023

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 13 July 2023 through 15 July 2023

ER -

Vasilevskyi O, Didych V, Zabula O, Sarana V , Popovici EM. Developing and using measurement models to assess accuracy: using the example of measurements of the activity of ions. In Proceedings of the 2023 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology, IAICT 2023. Institute of Electrical and Electronics Engineers Inc. 2023. p. 125-129. (Proceedings of the 2023 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology, IAICT 2023). doi: 10.1109/IAICT59002.2023.10205656

Developing and using measurement models to assess accuracy: using the example of measurements of the activity of ions

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

Other files and links

Fingerprint

Cite this