388

  • Internet ҳавола
  • DOI
  • UzSCI тизимида яратилган сана 23-07-2021
  • Ўқишлар сони 388
  • Нашр санаси 27-03-2021
  • Мақола тилиIngliz
  • Саҳифалар сони234-239
Калит сўзлар
Ўзбек 

 The article discusses options for probabilistic estimates of random error. It is shown that for the quantitative assessment of random errors and the establishment of the boundaries of these errors, the limiting error, interval estimation, and numerical characteristics of the distribution law are used. The methods of probability theory and mathematical statistics are presented allowing to establish the probabilistic patterns of the random error occurrence and based on these patterns to determine quantitative estimates of the measurement result and its random error.
               The choice of a specific assessment is obtained, which is determined by the necessary completeness of information on errors, purpose of measurements and nature of the use of their results. An exponential and heavy tail analysis method is presented to study the effect of systematic and random errors presented in thermodynamic data on chemical process design and simulation. Different error types such as random and systematic error can potentially cause different effects in the behavior of probability distributions, particularly in the tails. In this work, we use the tail behavior of cumulative frequency distributions produced from uncertainty analyses to characterize the error propagation in process design and simulation. The diminishing rate of the tail of a given distribution can be related to the error types involved in the process and also can be used to determine which error exhibits stochastic dominance.

№ Муаллифнинг исми Лавозими Ташкилот номи
1 Sheina N.E. O'qituvchi TDTU
2 Kadirova S.A. O'qituvchi TDTU
№ Ҳавола номи
1 1. Laaneots R.A. Fundamentals of Metrology. Monograph. St. Petersburg, 2017 - 473s.
2 2. Ismatullaev P.R. wa boshқ. Metrology, standard standardization and certificationcertificate: Darslik, Sano standard - T, 2015 y. -165 p.
3 3. Kim K.K., Anisimov G.N. et al. Metrology, standardization, certification and electrical engineering: Textbook, - Moscow, 2006 368с.
4 4. Lifits I.M. Fundamentals of standardization, metrology and certification: Textbook. 2nd ed., Rev. and add. - M.: Yurayt-M, 2001 -267 p.
5 5. Rannev G.G., Tarasenko A.P. Methods and means of change: Textbook for universities. M.: Publishing. Center "Academy", 2014. -336 p.
6 6. Recommendation. GSI. Application of the Guide to the Expression of Measurement Uncertainty. - St. Petersburg, 2006 -163 p.
7 7. Khakimov O.Sh., Latipov V.B. Estimation of measurement uncertainty. - Tashkent, 2008.110
8 8. Khakimov O.Sh., Dzhabbarov R.R. Ўlchashlar kuzatuvchanlagi wa noaniқligi. Kuw қўllanma “Uzstandart” nashreti - Toshkent, 2013. - 165 b.
9 9. Kulikovsky K.M., Cooper V.Ya., Methods and means of measurement. - M.: Energoatomizdat, 2015. -448 p.
10 10. Shishkin I.F. Theoretical Metrology, Part 1, General Measurement Theory, Textbook for High Schools, 4th edition. St. Petersburg, 2010.- 205 p.
11 11. Tartakovsky D.F., Yastrebov A.S. Metrology, standardization and technical measuring instruments. Textbook. - Moscow, higher school, 2002
12 12. Vijayaraghavan G.K., Rajappan R., Engineering Metrology and measurements, for 5th Semester Mechanical and Automobile Engineering (As per the latest Anna University Syllabus - Reg., 2008). -832 p.
13 13. Ismatullaev P.R., Kadyrova Sh.A., Gaziev G.A. Electroradio measurements, study guide. Tashkent – 2007 - 169s.
14 14. Ismatullaev P.R., Kodirova Sh.A. Metrology asoslari. Kuw қўllanma. “Extremum-Press”, 2012. - 304 p.
15 15. Horst Crichos, Leslie E. Smith Springer Handbook of Metrology ant testing 2nd cd. 2011 Edition Springer New York, 2011. – 1500 p.
16 16. www.standart.uz
17 17. www.smsti.uz
18 18. http://www.kievpribor.com.ua
19 19. http://www.rostok.kiev.ua
20 20. http://www.sames.co.za
Кутилмоқда