Library Subscription: Guest
Journal of Automation and Information Sciences

Published 12 issues per year

ISSN Print: 1064-2315

ISSN Online: 2163-9337

SJR: 0.173 SNIP: 0.588 CiteScore™:: 2

Indexed in

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

Volume 49, Issue 9, 2017, pp. 61-75
DOI: 10.1615/JAutomatInfScien.v49.i9.50
Get accessGet access

ABSTRACT

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.

CITED BY
  1. Aliev Telman, Algorithms for Forming Correlation Matrices Equivalent to Matrices of Useful Signals in the Latent Period of Object’s Emergency State, in Noise Control of the Beginning and Development Dynamics of Accidents, 2019. Crossref

  2. Aliev Telman, Specifics and Difficulties of Control of the Beginning of Accident Initiation and Development Dynamics, in Noise Control of the Beginning and Development Dynamics of Accidents, 2019. Crossref

  3. Aliev T. A., Musaeva N. F., Gazizade B. I., Technologies for Monitoring the Dynamics of Damage Development in Drilling Rigs Using High-Order Moments of the Noise, Mekhatronika, Avtomatizatsiya, Upravlenie, 21, 4, 2020. Crossref

  4. Aliev T. A., Musaeva N. F., Suleymanova M. T., Algorithms for Constructing the Confidence Interval for the Mathematical Expectation of the Noise and their Application in the Control of the Dynamics of Accident Development, Mekhatronika, Avtomatizatsiya, Upravlenie, 21, 9, 2020. Crossref

Begell Digital Portal Begell Digital Library eBooks Journals References & Proceedings Research Collections Prices and Subscription Policies Begell House Contact Us Language English 中文 Русский Português German French Spain