Method of identifying models of electronic equipment failure of automation control of dynamic systems
About authors
- 1 — Ph.D. associate professor National Mineral Resources University (Mining University)
- 2 — Ph.D. associate professor National Mineral Resources University (Mining University)
Abstract
In the article the effective non-parametric method to identify patterns of failures of electronic equipment automation of dynamic systems. The essence of the offered method is that on the small selections presented in the form of a variation row, practically always it is possible to find such transformation as a result of which the statistics which isn't depending on parameters of distribution of population will turn out. It is advisable to define function of distribution of such statistics as a result of statistical modeling if analytical construction it is complicated.
References
- Afanasyeva O.V., Glozshteyn N.V. Calculation of reliability of complex systems // Analysis and forecasting management systems: Proceedings of the 9th International scientific-practical conference of young scientists and graduate students. Saint Petersburg, 2008. P.210-213.
- Klavdiev A.A., Volovik A.V., Gajfutdinov V.A. An identification method processes of Markov under the limited information // Military technology Standardization. 1993. N 2. P.58-69.
- Klavdiev A.A., Soskin A.V., Soskin S.V. Method of nonparametric identification of functions of requirement and cost of equipment elevating means of transport terminals // Analysis, forecasting and management in difficult systems: Works of the Russian-Polish conference. Saint Petersburg, 2006. P.283.
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