%0 Journal Article
%A Aliev, Telman Abbas ogly
%A Musaeva, Naila Fuad kyzy
%A Gazizade , Bahruz Ismail ogly
%D 2017
%I Begell House
%K noisy process probabilistic model, mathematical expectation, variance, mean-square deviation, distribution density function
%N 9
%P 61-75
%R 10.1615/JAutomatInfScien.v49.i9.50
%T Algorithms for Constructing a Model of the Noisy Process by Correcting the Law of its Distribution
%U http://dl.begellhouse.com/journals/2b6239406278e43e,42f6a54d55a3ffda,342fb5ac0986ad74.html
%V 49
%X 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.
%8 2017-12-29