Authors

Evaluating heterogeneity of composition and properties for different environments

DOI: 10.17586/1606-4313-2018-17-1-74-80
UDC 637.52(078)

Evaluating heterogeneity of composition and properties for different environments

Lazarev V. L., Bogdanov P.A., Petrov M.M., Tomson K.U.

For citation: Lazarev V.L., Bogdanov P.A., Petrov M.M., Tomson K.U. Evaluating heterogeneity of composition and properties for different environments. Vestnik Mezhdunarodnoi akademii kholoda. 2018. No 1. p. 74-80

Abstract
The paper discusses approaches to the development of effective assessment techniques for monitoring heterogeneity of composition and properties of different environments. Outlined solutions based on the use of concepts and methods of the theory of entropy potentials. With this approach, the heterogeneity of the properties of the objects is proposed to consider as a state of uncertainty in the space of the parameters being analyzed. The proposed evaluations of heterogeneity based on the use of standard statistical characteristics are compact, clear, and convenient for practical use. They are not inconsistent with existing developments but complement and extend their potential. The advantages of the proposed approach are the possibility to describe states of uncertainty a set of interrelated numerical characteristics, each of which corresponds to a certain "level" in the description of these states. The characteristics of a higher level are expressed through the characteristics of the previous levels by taking into account additional parameters in conditions of uncertainty and vice versa. There are methods of obtaining estimates of these characteristics in the presence of small volumes of observations that is relevant to many processes and industries in biotechnology industry. The specific results of the study on the heterogeneity of environments in a number of processes and apparatus in various industries are given.

Keywords: heterogeneity, uncertainty, entropy potentials, monitoring.

All references

1. Kendal M., Styuart A. Statistical inference and communication. Moscow, Nauka, 1973. 897 p. (in Russian)

2. Lazarev V.L. Research and design of multicomponent systems in the biotechnology industry in the face of uncertainty based on entropy potential quality indicators. Vestnik Mezhdunarodnoi akademii kholoda. 2017. No 2. p. 84-90.(in Russian)

3. Sidenko A.V., Popov G.Yu., Matveeva V.M. Statistics: Tutorial. Moscow, Delo i servis, 2000. 464 p. (in Russian)

4. Korn G., Korn T. Handbook of mathematics. For scientists and engineers. Moscow, Nauka, 1978. 832 p. (in Russian)

5. Soft measurements and calculations. Monograph. / Under the editorship of S.V. Prokopchina. Vol. 1. Theoretical foundations and methods. Moscow, Nauchnaya biblioteka, 2017. 420 p. (in Russian)

6. Okhtilev M.Yu., Sokolov B.V., Yusupov R.M. Intellectual technologies of monitoring and control of structural dynamics of complex technical objects. Moscow, Nauka, 2006. 410 p. (in Russian)

7. Lazarev V.L. The theory of entropy potentials. Monograph. SPb.: Izd-vo Politekhnicheskogo un-ta, 2012. 127 p. (in Russian)

8. Lazarev V.L., Grakhol'skaya T.A., Travina E.A., Frolkov N.A. The use of the cognitive images of the States of the system in the parameter space entropy capacities for monitoring and management. Nauchnyi zhurnal NIU ITMO. Seriya «Protsessy i apparaty pishchevykh proizvodstv». 2015. No 4. p. 54-61. (in Russian)

9. Dombrovskii M.A., Butorina O.V. Entropy analysis of infrastructure capacity of the region on the example of Perm Krai. Ekonomika i predprinimatel'stvo. 2015. No 5-1 (58-1). p. 305-310. (in Russian)

10. Lazarev V.L. Management improvement using the characteristics of entropy potentials. Adaptation to the specifics of the biotechnology industry. Vestnik Mezhdunarodnoi akademii kholoda. 2016. No 4. p. 68-73. (in Russian)

11. Koshevoi O.S., Glebova T.A., Chirkina M.A. Diagnostic concentration ratios of the distribution of per capita monetary incomes of the population on the basis of entropy approach. Regional'naya arkhitektura i stroitel'stvo. 2012. No 2. p. 192-195.(in Russian)

12. Electrical measurement of non-electrical quantities. A. M. Turichin, P. V. Novitskiy, E. S. Levshina et al. / Under the editorship of P. V. Novitsky. Leningrad, Energiya, 1975. 576 p.

13. Blagoveshchenskaya M.M., Zlobin L.A. Information technology systems of control of technological processes. Moscow, Vysshaya shkola, 2005. 768 p. (in Russian)

14. Lazarev V.L. Representative information models for monitoring and control in the conditions of uncertainty// XVIII Intern. Confer. “SCM”. 2015. IEEE. Pp. 54-57. DOI: 10.1109/SCM.2015.7190408.

15. Prangishvili I.V. Entropy and other systemic patterns: Issues of management of complex systems. Moscow, Nauka, 2003. 428 p. (in Russian)

16. Nechaev Yu.I., Petrov O.N. Chaotic dynamics strange attractor in the evolution of non-stationary object in complex dynamic environment. Morskie intellektual'nye tekhnologii. 2014. No 2. p. 43-50. (in Russian)

17. Polosin V.G., Bodin O.N. The use of entropy-parametric potential to monitor the results of the electrophysiological characteristics of the heart. Izmerenie. Monitoring. Upravlenie. Kontrol'. 2015. No 4. p. 3-9. (in Russian)

18. Bekarevich A.A. Detection of defects in complex constructions based on the aggregation of information of multiparameter nondestructive testing. Tsvetnye metally. 2013. No 3. p. 82-88. (in Russian)

19. Krasnov A.E., Krasulya O.V., Bol'shakov O.V., Shlenskaya T.V. Information technology for food production under conditions of uncertainty. (System analysis management and forecasting with a computer-assisted). Moscow, VNIIM, 2001. 496 p. (in Russian)

Read the full article