Abstract
Attention focuses on the functional relations between the information signals processed in automatic production control systems, with a view to constructing a monitoring system for network interactions that is able to detect abnormal operation. The parameters of information signals, types of functional relations, and methods of determining such relations by statistical analysis are described. The sample size for reliable determination of the basic relations between the information signals is estimated.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
Djiev, S., Industrial networks for communication and control, 2015. http://anp.tu-sofia.bg/djiev/PDF% 20files/Industrial%20Networks.pdf.
Denisenko, V.V., Komp’yuternoe upravlenie tekhnologicheskim protsessom, eksperimentom, oborudovaniem (Automated Control of Technological Process, Experiment, and Equipment), Moscow: Goryachaya Liniya- Telekom, 2014.
Burtsev, A.G., Klishevich, D.M., Polyanskii, A.V., Protection of standard network protocols of automated production control systems, Russ. Eng. Res., 2017, vol. 37, no. 3, pp. 224–232.
Afifi, A.A. and Azen, S.P., Statistical Analysis: A Computer Oriented Approach, London Academic press, 1979, 2nd ed.
Aivazyan, S.A., Enyukov, I.S., and Meshalkin, L.D., Prikladnaya statistika: Osnovy modelirovaniya i pervichnaya obrabotka dannykh (Applied Statistics: Principles of Modeling and Primary Data Delivery), Moscow: Finansy Statistika, 1983.
Author information
Authors and Affiliations
Corresponding author
Additional information
Original Russian Text © A.G. Burtsev, D.M. Klishevich, 2017, published in STIN, 2017, No. 8, pp. 2–7.
About this article
Cite this article
Burtsev, A.G., Klishevich, D.M. Information Signals in Automatic Production Control Systems. Russ. Engin. Res. 38, 110–114 (2018). https://doi.org/10.3103/S1068798X18020041
Published:
Issue Date:
DOI: https://doi.org/10.3103/S1068798X18020041