The failures equipment prediction method by the example of the Transneft PJSC conformity assessment system

UDK: 622.692.4.052
DOI: 10.24887/0028-2448-2017-10-106-109
Key words: mathematical model, defect, equipment failure, conformity assessment
Authors: Yu.V. Lisin, O.V. Aralov (The Pipeline Transport Institute LLC, RF, Moscow)

The article is devoted to the development of the main sections of the failures equipment prediction method by the example of the JSC «Transneft» conformity assessment system. The main position of the conducted researches is the admission, that the main argument of the developed forecasting method is the equipment initial operating time, characteristic for a zone of stable breakdown rate. Using this argument allows modeling the change of research objective function, changing its trajectory and as a result determining the number of equipment failures with the least response time of mathematical operations and the greatest accuracy of calculation. In this paper, the development of a mathematical model for determining the prelusory equipment running time is highlighted by a statistical approach based on the use of the Weibull distribution. The Weibull distribution is considered as the base one and is investigated at the extremum points, taking into account the condition for the maximum dynamics of the change in their limited state. The results of the work make it possible to establish a regularity that determines the prelusory equipment running time as a part of the Weibull distribution that has the minimum value of the derivative of the function, which appoints the allocation of equipment failure rates for the case under consideration. The results of research is the analytical dependence, which allow to determine the basic argument of the equipment failures prediction method, based on the following reliability indicators: the sum of the maximum and minimum number of intact equipment, average value of failure rate of equipment and total number of equipment failures.

References

1. Aralov O.V., Buyanov I.V., Mastobaev B.N. et al., The main statements of optimization methodology of life-cycle parameters of technical equipment (In Russ.), Nauka i tekhnologii truboprovodnogo transporta nefti i nefteproduktov, 2016, V. 26, no. 6, pp. 23-29.

2. Aralov O.V., Bylinkin D.V., Berezhanskiy N.V., Razrabotka metodologicheskogo apparata po opredeleniyu veroyatnosti poyavleniya defekta oborudovaniya pri ego proizvodstve na osnove metoda lineyno-dinamicheskogo programmirovaniya (Development of a methodological apparatus for determining the probability of the appearance of equipment defect during its production on the basis of the method of linear dynamic programming), Collected papers “Truboprovodnyy transport-2016” (Pipeline transport-2016), Proceedings of XI International educational and scientific-practical conference, Ufa: Publ. of USPTU, 2016, pp. 12-14.

3. Lisin Yu.V., Aralov O.V., Mastobaev B.N. et al., Development of a mathematical model for evaluating financial feasibility of the r&d plan for creation of complex technical systems (In Russ.), Transport i khranenie nefteproduktov i uglevodorodnogo syr'ya, 2016, no. 3, pp. 17-23.

4. Aralov O.V., Metodika optimizatsii plana opytno-konstruktorskikh rabot po sredstvam, kompleksam svyazi i avtomatizatsii pri programmnom planirovanii (Technique of optimization of the plan of developmental works on means, complexes of communication and automation at program planning): thesis of candidate of technical science, St. Petersburg, 1999.

5. Barzilovich E.Yu., Belyaev Yu.K., Kashtanov V.A., Voprosy matematicheskoy teorii nadezhnosti (Problems of mathematical theory of reliability), Moscow: Radio i svyaz' Publ., 1983, 376 p.

6. Barlow R.E., Proschan F., Mathematical theory of reliability, New York: John Wiley and Sons, 1965.

The article is devoted to the development of the main sections of the failures equipment prediction method by the example of the JSC «Transneft» conformity assessment system. The main position of the conducted researches is the admission, that the main argument of the developed forecasting method is the equipment initial operating time, characteristic for a zone of stable breakdown rate. Using this argument allows modeling the change of research objective function, changing its trajectory and as a result determining the number of equipment failures with the least response time of mathematical operations and the greatest accuracy of calculation. In this paper, the development of a mathematical model for determining the prelusory equipment running time is highlighted by a statistical approach based on the use of the Weibull distribution. The Weibull distribution is considered as the base one and is investigated at the extremum points, taking into account the condition for the maximum dynamics of the change in their limited state. The results of the work make it possible to establish a regularity that determines the prelusory equipment running time as a part of the Weibull distribution that has the minimum value of the derivative of the function, which appoints the allocation of equipment failure rates for the case under consideration. The results of research is the analytical dependence, which allow to determine the basic argument of the equipment failures prediction method, based on the following reliability indicators: the sum of the maximum and minimum number of intact equipment, average value of failure rate of equipment and total number of equipment failures.

References

1. Aralov O.V., Buyanov I.V., Mastobaev B.N. et al., The main statements of optimization methodology of life-cycle parameters of technical equipment (In Russ.), Nauka i tekhnologii truboprovodnogo transporta nefti i nefteproduktov, 2016, V. 26, no. 6, pp. 23-29.

2. Aralov O.V., Bylinkin D.V., Berezhanskiy N.V., Razrabotka metodologicheskogo apparata po opredeleniyu veroyatnosti poyavleniya defekta oborudovaniya pri ego proizvodstve na osnove metoda lineyno-dinamicheskogo programmirovaniya (Development of a methodological apparatus for determining the probability of the appearance of equipment defect during its production on the basis of the method of linear dynamic programming), Collected papers “Truboprovodnyy transport-2016” (Pipeline transport-2016), Proceedings of XI International educational and scientific-practical conference, Ufa: Publ. of USPTU, 2016, pp. 12-14.

3. Lisin Yu.V., Aralov O.V., Mastobaev B.N. et al., Development of a mathematical model for evaluating financial feasibility of the r&d plan for creation of complex technical systems (In Russ.), Transport i khranenie nefteproduktov i uglevodorodnogo syr'ya, 2016, no. 3, pp. 17-23.

4. Aralov O.V., Metodika optimizatsii plana opytno-konstruktorskikh rabot po sredstvam, kompleksam svyazi i avtomatizatsii pri programmnom planirovanii (Technique of optimization of the plan of developmental works on means, complexes of communication and automation at program planning): thesis of candidate of technical science, St. Petersburg, 1999.

5. Barzilovich E.Yu., Belyaev Yu.K., Kashtanov V.A., Voprosy matematicheskoy teorii nadezhnosti (Problems of mathematical theory of reliability), Moscow: Radio i svyaz' Publ., 1983, 376 p.

6. Barlow R.E., Proschan F., Mathematical theory of reliability, New York: John Wiley and Sons, 1965.



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