Standard

Development of Automated Life Cycle Management System for Electrically Driven Compressor Units in the Oil and Gas Industry: book chapter. / Mironenko, Yaroslav; Khalyasmaa, Alexandra.
Proceedings of the 2023 Belarusian-Ural-Siberian Smart Energy Conference, BUSSEC 2023: book. Institute of Electrical and Electronics Engineers Inc., 2023. p. 160-164.

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

Harvard

Mironenko, Y & Khalyasmaa, A 2023, Development of Automated Life Cycle Management System for Electrically Driven Compressor Units in the Oil and Gas Industry: book chapter. in Proceedings of the 2023 Belarusian-Ural-Siberian Smart Energy Conference, BUSSEC 2023: book. Institute of Electrical and Electronics Engineers Inc., pp. 160-164, 2023 Belarusian-Ural-Siberian Smart Energy Conference (BUSSEC), Екатеринбург, Russian Federation, 25/09/2023. https://doi.org/10.1109/BUSSEC59406.2023.10296464

APA

Mironenko, Y., & Khalyasmaa, A. (2023). Development of Automated Life Cycle Management System for Electrically Driven Compressor Units in the Oil and Gas Industry: book chapter. In Proceedings of the 2023 Belarusian-Ural-Siberian Smart Energy Conference, BUSSEC 2023: book (pp. 160-164). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BUSSEC59406.2023.10296464

Vancouver

Mironenko Y, Khalyasmaa A. Development of Automated Life Cycle Management System for Electrically Driven Compressor Units in the Oil and Gas Industry: book chapter. In Proceedings of the 2023 Belarusian-Ural-Siberian Smart Energy Conference, BUSSEC 2023: book. Institute of Electrical and Electronics Engineers Inc. 2023. p. 160-164 doi: 10.1109/BUSSEC59406.2023.10296464

Author

Mironenko, Yaroslav ; Khalyasmaa, Alexandra. / Development of Automated Life Cycle Management System for Electrically Driven Compressor Units in the Oil and Gas Industry : book chapter. Proceedings of the 2023 Belarusian-Ural-Siberian Smart Energy Conference, BUSSEC 2023: book. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 160-164

BibTeX

@inproceedings{d34404cfae7742eda9a20c1824cd9b60,
title = "Development of Automated Life Cycle Management System for Electrically Driven Compressor Units in the Oil and Gas Industry: book chapter",
abstract = "Electrically driven compressor units are one of the key elements in the processing equipment of oil and gas fabrication facilities. Today, due to the increasing share of exhausted complexes and the lack of a domestic market for competitive products, the focus of operation is on maintaining a minimum sufficient level of performance using tools such as a life cycle management system. The life cycle management system is an information and analytical expert system for managing the facility at all stages of the cycle. Its bases are data on current and predicted technical state within the framework of the organization's business model. This study examines the sources of data for the operation of the system and the mechanisms for implementing key modules: classification and prediction of the values of diagnostic parameters. The accuracy of classification and forecasting obtained during testing is sufficient for the use of the system by organizations operating compressor units. {\textcopyright} 2023 IEEE.",
author = "Yaroslav Mironenko and Alexandra Khalyasmaa",
note = "The research was carried out within the state assignment with the financial support of the Ministry of Science and Higher Education of the Russian Federation (subject No. FEUZ-2022-0030 Development of an intelligent multi-agent system for modeling deeply integrated technological.; 2023 Belarusian-Ural-Siberian Smart Energy Conference (BUSSEC) ; Conference date: 25-09-2023 Through 29-09-2023",
year = "2023",
doi = "10.1109/BUSSEC59406.2023.10296464",
language = "English",
isbn = "979-835035807-0",
pages = "160--164",
booktitle = "Proceedings of the 2023 Belarusian-Ural-Siberian Smart Energy Conference, BUSSEC 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
address = "United States",

}

RIS

TY - GEN

T1 - Development of Automated Life Cycle Management System for Electrically Driven Compressor Units in the Oil and Gas Industry

T2 - 2023 Belarusian-Ural-Siberian Smart Energy Conference (BUSSEC)

AU - Mironenko, Yaroslav

AU - Khalyasmaa, Alexandra

N1 - The research was carried out within the state assignment with the financial support of the Ministry of Science and Higher Education of the Russian Federation (subject No. FEUZ-2022-0030 Development of an intelligent multi-agent system for modeling deeply integrated technological.

PY - 2023

Y1 - 2023

N2 - Electrically driven compressor units are one of the key elements in the processing equipment of oil and gas fabrication facilities. Today, due to the increasing share of exhausted complexes and the lack of a domestic market for competitive products, the focus of operation is on maintaining a minimum sufficient level of performance using tools such as a life cycle management system. The life cycle management system is an information and analytical expert system for managing the facility at all stages of the cycle. Its bases are data on current and predicted technical state within the framework of the organization's business model. This study examines the sources of data for the operation of the system and the mechanisms for implementing key modules: classification and prediction of the values of diagnostic parameters. The accuracy of classification and forecasting obtained during testing is sufficient for the use of the system by organizations operating compressor units. © 2023 IEEE.

AB - Electrically driven compressor units are one of the key elements in the processing equipment of oil and gas fabrication facilities. Today, due to the increasing share of exhausted complexes and the lack of a domestic market for competitive products, the focus of operation is on maintaining a minimum sufficient level of performance using tools such as a life cycle management system. The life cycle management system is an information and analytical expert system for managing the facility at all stages of the cycle. Its bases are data on current and predicted technical state within the framework of the organization's business model. This study examines the sources of data for the operation of the system and the mechanisms for implementing key modules: classification and prediction of the values of diagnostic parameters. The accuracy of classification and forecasting obtained during testing is sufficient for the use of the system by organizations operating compressor units. © 2023 IEEE.

UR - http://www.scopus.com/inward/record.url?partnerID=8YFLogxK&scp=85178072675

U2 - 10.1109/BUSSEC59406.2023.10296464

DO - 10.1109/BUSSEC59406.2023.10296464

M3 - Conference contribution

SN - 979-835035807-0

SP - 160

EP - 164

BT - Proceedings of the 2023 Belarusian-Ural-Siberian Smart Energy Conference, BUSSEC 2023

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 25 September 2023 through 29 September 2023

ER -

ID: 49269623