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Journal of Automation and Information Sciences
SJR: 0.232 SNIP: 0.464 CiteScore™: 0.27

ISSN Druckformat: 1064-2315
ISSN Online: 2163-9337

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Journal of Automation and Information Sciences

DOI: 10.1615/JAutomatInfScien.v49.i9.50
pages 61-75

Algorithms for Constructing a Model of the Noisy Process by Correcting the Law of its Distribution

Telman Abbas ogly Aliev
Institute of Control Systems of National Academy of Sciences of Azerbaijan, Baku (Azerbaijan)
Naila Fuad kyzy Musaeva
Azerbaijan University of Architecture and Construction, Institute of Control Systems of National Academy of Sciences of Azerbaijan, Baku (Azerbaijan)
Bahruz Ismail ogly Gazizade
Institute of Control Systems of National Academy of Sciences of Azerbaijan, Baku (Azerbaijan)

ABSTRAKT

The authors have constructed the algorithms for building a noisy process probabilistic model consisting of probabilistic models of useful component and noise. A set of such characteristics of noise and a useful component as mathematical expectations, variance, mean-square deviations, distribution density functions and their maxima as well as inflection points along x-axis and y-axis obtained at different periods of time has been formed. It has been demonstrated that the use of these sets in an automated control system allows us to determine a moment of routine maintenance to be performed and thereby to avoid a process shutdown required to carry out a comprehensive overhaul.