Formation of estimates of reliability indicators for active elements in gas transport systems on the basis of refusals statistics

• Autorzy: Grigoriev L. , Kucheryavy V. , Rusev V. , Sedyh I.
• Języki publikacji: EN

Abstrakty

EN

The problem of equipment functioning reliability in gas transport systems is extremely urgent. This article deals with the algorithm of estimation and prediction of reliability factors of gas-compressor units and automatic systems, which uses statistical information about elements failures as input data. This algorithm is based on methods of mathematical statistics and regression analysis and provides the opportunity to obtain predictive estimate of failure rate, time between failures and availability function. In addition, the article describes the outcome of algorithm action, disagreement between industrial data about systems functioning and technical specification of these systems.

Słowa kluczowe

EN

gas transport systems; gas-compressor units; reliability; statistics; refusals; mathematical methods

• Wydawca: Polskie Towarzystwo Bezpieczeństwa i Niezawodności
• Czasopismo: Journal of Polish Safety and Reliability Association
• Rocznik: 2014
• Tom: Vol. 5, No. 2
• Strony: 41--47
• Opis fizyczny: Bibliogr. 7 poz., wykr.

Twórcy

autor

Grigoriev L.

• Gubkin Russian State University of Oil and Gas, Moscow, Russia

autor

Kucheryavy V.

• Gubkin Russian State University of Oil and Gas, Moscow, Russia

autor

Rusev V.

• Gubkin Russian State University of Oil and Gas, Moscow, Russia

autor

Sedyh I.

• Gubkin Russian State University of Oil and Gas, Moscow, Russia

Bibliografia

• [1] Sedyh, I.А. & Kucheryavy, V.V. (2011). Algoritm of an assessment and forecasting of indicators of reliability of GPA and SAU GPA on the basis of statistical data//NTZh. Automation, telemechanization and communication in oil industry No. 6, 12-16.
• [2] Grigoriev, L.I. (2010). Automated supervisory control - the main direction of development of automated systems of technological processes control of gas branch//the Gas industry. - No. 3.
• [3] Grigoriev, L.I., Kalinin, V.V., Rusev, V.N. & Sedyh, I.A. (2010). Software of a subsystem of an assessment and monitoring of reliability of automated system of supervisory control in gas transport. Automation in the industry No. 12.
• [4] Weibull, W. (1939). A statistical theory of the strength of material Report № 151. - Ingeniors Vetenskaps Akademiens Handligar, Stockholm.
• [5] Gnedenko, B.V. (1943). Sur la distribution limite du terme maximum d’une série aléatoire. Annals of Mathématics, 44, 423-453.
• [6] Rinne, H. (2009). The Weibull distribution. A handbook. London, New York: CRC press, Taylor & Francis Group.
• [7] Skripnik, V.M., Nazin, A.E., Prikhodko, Yu.G. & Blagoveshchensk, Yu.N. (1988). Reliability analysis of technical systems on censored samples. Radio and communication.