Vol. 7 є 6, 2017 p 93-97

Pages

Article name, authors, abstract and keyword

93-97

Assessment of the technical condition of the APCS equipment on the basis of measured process parameters

Oleg V. Aralov a, Gleb E. Dolbin a, Vyacheslav V. Kuzmin a, Victor A. Kuzmichev a

a Pipeline Transport Institute, LLC (Transneft R&D, LLC), 47a, Sevastopolskiy prospect, Moscow, 117186, Russian Federation

DOI: 10.28999/2541-9595-2017-7-6-93-97

Abstract: This article describes the operating principle of the system for automatic diagnostics of the APCS (Automated Process Control System) equipment developed in Transneft R&D LLC, whose functions include the automatic generation of integrated information on the status of this equipment, localization to a separate failed module, unit, sensor and prevention of equipment failures.
The functioning of the system is based on two main algorithms Ц the dispersion analysis algorithm and the correlation analysis algorithm for the measured parameters. The data source for the system is the demilitarized zone server installed at the facilities of the Transneft system organizations.
The system performs continuous monitoring of the APCS equipment operation, excludes the influence of the human factor on the results of diagnostics, and allows determining the presence of defects (obvious and hidden) in the APCS equipment and deviations in its operation.
Implementation of the system shall increase the level of reliability and operational safety of the facilities belonging to organizations of Transneft.

Keywords: diagnostics, dispersion, correlation, Automated Process Control System (APCS).

Reference for citing:
Aralov O. V., Dolbin G. E., Kuzmin V. V., Kuzmichev V. A. Assessment of the technical condition of the APCS equipment on the basis of measured process parameters. Naukatekhnol. truboprov. transp. neftiinefteprod. = Science & Technologies: Oil and Oil Products Pipeline Transportation. 2017;(7)6:93Ц97.

References:
[1] Dupin E. Y., Alexandrovich A. E. Fault tolerance assessment of corporate networks of IP-telephony. Business Informatics. 2010;(1):45Ц50. (In Russ.)
[2] Reliability of technical systems: reference book. Ushakov I. A., editor. Moscow (M): Radio i Svyaz; 1985. 608 p. (In Russ.)
[3] Orlov A. I. Case Mathematics: probability and statistics Ц the basic facts. Moscow (M.): MZ-Press; 2004. 110 p. (In Russ.)
[4] Gmurman V. E. Theory of Probability and Mathematical Statistics. 2nd ed. Moscow (ћ.): High school; 2004. 479 p. (In Russ.)
[5] Eliseeva I. I., Yuzbashev M. M. General theory of statistics: Textbook. 4th ed., rev. and add. Moscow (M.): Finance and Statistics Publ.; 2002. 480 p. (In Russ.)
[6] Vainshtok S. M., Novoselov V. V., Prokhorov A. D., Shammazov A. M. Oil pipeline transport: Textbook for high schools in 2 volumes. Vol. 1. Moscow (M.): Nedra-Biznestsentr Publ.; 2004. (In Russ.)
[7] Aralov O. V., Buyanov I. V., Mastobaev B. N., Berezhansky N. V., Bylinkin D. V. The main statements of optimization methodology of life-cycle parameters of technical equipment. Naukatekhnol. truboprov. transp. neftiinefteprod. = Science & Technologies: Oil and Oil Products Pipeline Transportation. 2016;(6):23Ц29. (In Russ.)
[8] Lisin Y. V.. Frinlyand Y. M., Aralov O. V. Improvement of main pipelines equipment reliability. Standards and Quality. 2015;(8):36Ц40. (In Russ.)
[9] Aralov O. V. Industry conformity assessment system for equipment and materials used by Transneft. Naukatekhnol. truboprov. transp. neftiinefteprod. = Science & Technologies: Oil and Oil Products Pipeline Transportation. 2016;(2):24Ц27. (In Russ.)

ѕјќ