Methods for Diagnosing Vehicles by an Operator-Diagnostician

Vasiliy Mygal; Shchasiana Arhun; Andrii Hnatov; Ruslan Bagach; Nadezhda Kunicina

doi:10.1109/RTUCON56726.2022.9978906

Methods for Diagnosing Vehicles by an Operator-Diagnostician

Vasiliy Mygal
, Shchasiana Arhun
, Andrii Hnatov
, Ruslan Bagach
, Nadezhda Kunicina

Civil Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Reliability of the methods for diagnosing vehicles by operator-diagnostician has been studied. The methods are aimed at fast and effective detection of malfunction with the minimum use of technical means to reduce complexity and increase the efficiency of diagnosing. The paper reveals the intellectual abilities of human in diagnosing vehicles; demonstrates the advantages and disadvantages of intelligent diagnostic systems in comparison with technical diagnostic systems; describes what knowledge is needed for diagnostics and what operational and technical documentation helps increase the efficiency of intelligent vehicle diagnostics; presents the algorithm of intelligent diagnostics of vehicles. It is proved that a highly qualified diagnostician can make vehicle diagnostics much less complicated and more efficient. The results of this work are intended by drivers, maintenance workers, developers of operational and technical documentation, and implementors involved in the improvement of technical means of diagnostics.

Original language	English
Title of host publication	2022 IEEE 63th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
ISBN (Electronic)	9781665465588, 9781665465571
ISBN (Print)	9781665465595
DOIs	https://doi.org/10.1109/RTUCON56726.2022.9978906
Publication status	Published - 19 Dec 2022
Event	63rd IEEE Annual International Scientific Conference on Power and Electrical Engineering of Riga Technical University, RTUCON 2022 - Riga, Latvia Duration: 10 Oct 2022 → 12 Oct 2022

Publication series

Name	International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)
Publisher	IEEE
ISSN (Print)	2996-1033
ISSN (Electronic)	2768-3338

Conference

Conference	63rd IEEE Annual International Scientific Conference on Power and Electrical Engineering of Riga Technical University, RTUCON 2022
Country/Territory	Latvia
City	Riga
Period	10/10/22 → 12/10/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

Keywords

diagnostic methods
intelligent systems
malfunction
vehicle

ASJC Scopus subject areas

Computer Science Applications
Energy Engineering and Power Technology
Artificial Intelligence
Automotive Engineering
Electrical and Electronic Engineering

Access to Document

10.1109/RTUCON56726.2022.9978906Licence: None: All rights reserved

Cite this

Mygal, V., Arhun, S., Hnatov, A., Bagach, R., & Kunicina, N. (2022). Methods for Diagnosing Vehicles by an Operator-Diagnostician. In 2022 IEEE 63th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON) (International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/RTUCON56726.2022.9978906

Mygal, Vasiliy ; Arhun, Shchasiana ; Hnatov, Andrii et al. / Methods for Diagnosing Vehicles by an Operator-Diagnostician. 2022 IEEE 63th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON). Institute of Electrical and Electronics Engineers (IEEE), 2022. (International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)).

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abstract = "Reliability of the methods for diagnosing vehicles by operator-diagnostician has been studied. The methods are aimed at fast and effective detection of malfunction with the minimum use of technical means to reduce complexity and increase the efficiency of diagnosing. The paper reveals the intellectual abilities of human in diagnosing vehicles; demonstrates the advantages and disadvantages of intelligent diagnostic systems in comparison with technical diagnostic systems; describes what knowledge is needed for diagnostics and what operational and technical documentation helps increase the efficiency of intelligent vehicle diagnostics; presents the algorithm of intelligent diagnostics of vehicles. It is proved that a highly qualified diagnostician can make vehicle diagnostics much less complicated and more efficient. The results of this work are intended by drivers, maintenance workers, developers of operational and technical documentation, and implementors involved in the improvement of technical means of diagnostics.",

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Mygal, V, Arhun, S, Hnatov, A, Bagach, R & Kunicina, N 2022, Methods for Diagnosing Vehicles by an Operator-Diagnostician. in 2022 IEEE 63th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON). International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON), Institute of Electrical and Electronics Engineers (IEEE), 63rd IEEE Annual International Scientific Conference on Power and Electrical Engineering of Riga Technical University, RTUCON 2022, Riga, Latvia, 10/10/22. https://doi.org/10.1109/RTUCON56726.2022.9978906

Methods for Diagnosing Vehicles by an Operator-Diagnostician. / Mygal, Vasiliy; Arhun, Shchasiana; Hnatov, Andrii et al.
2022 IEEE 63th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON). Institute of Electrical and Electronics Engineers (IEEE), 2022. (International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AU - Hnatov, Andrii

AU - Bagach, Ruslan

AU - Kunicina, Nadezhda

PY - 2022/12/19

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N2 - Reliability of the methods for diagnosing vehicles by operator-diagnostician has been studied. The methods are aimed at fast and effective detection of malfunction with the minimum use of technical means to reduce complexity and increase the efficiency of diagnosing. The paper reveals the intellectual abilities of human in diagnosing vehicles; demonstrates the advantages and disadvantages of intelligent diagnostic systems in comparison with technical diagnostic systems; describes what knowledge is needed for diagnostics and what operational and technical documentation helps increase the efficiency of intelligent vehicle diagnostics; presents the algorithm of intelligent diagnostics of vehicles. It is proved that a highly qualified diagnostician can make vehicle diagnostics much less complicated and more efficient. The results of this work are intended by drivers, maintenance workers, developers of operational and technical documentation, and implementors involved in the improvement of technical means of diagnostics.

AB - Reliability of the methods for diagnosing vehicles by operator-diagnostician has been studied. The methods are aimed at fast and effective detection of malfunction with the minimum use of technical means to reduce complexity and increase the efficiency of diagnosing. The paper reveals the intellectual abilities of human in diagnosing vehicles; demonstrates the advantages and disadvantages of intelligent diagnostic systems in comparison with technical diagnostic systems; describes what knowledge is needed for diagnostics and what operational and technical documentation helps increase the efficiency of intelligent vehicle diagnostics; presents the algorithm of intelligent diagnostics of vehicles. It is proved that a highly qualified diagnostician can make vehicle diagnostics much less complicated and more efficient. The results of this work are intended by drivers, maintenance workers, developers of operational and technical documentation, and implementors involved in the improvement of technical means of diagnostics.

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Mygal V, Arhun S, Hnatov A, Bagach R, Kunicina N. Methods for Diagnosing Vehicles by an Operator-Diagnostician. In 2022 IEEE 63th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON). Institute of Electrical and Electronics Engineers (IEEE). 2022. (International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)). doi: 10.1109/RTUCON56726.2022.9978906

Methods for Diagnosing Vehicles by an Operator-Diagnostician

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this