Open Access Peer-reviewed Research Article

Detection of abnormal situations in the operation of communication channels

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Submitted   Jan 1, 2023
Published   Mar 9, 2023
Issue    Vol 2 No 1 (2023)
DOI   10.25082/RIMA.2023.01.001

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Oleg V. Chikalo corresponding author
Research and production enterprise "Radiotekhnika", Moscow 115419, Russia
Ilya A. Obukhov
Research and production enterprise "Radiotekhnika", Moscow 115419, Russia

Abstract

Currently, many countries have high expectations for the digitalization of economies, meaning various elements of automation. One of the most effective tools in achieving a new level of digitalization can be the Internet of Things (IoT). The development of IoT provokes the fourth industrial revolution (Industry 4.0), which will be marked by the transition to fully automated digital production, the use of cyber-physical systems and cloud computing. Processes will be controlled by "smart" devices online. An example of such smart devices is modern telecommunications equipment, the operation of which accumulates large amounts of data - telemetry of various kinds. This "big data" can be used to predict possible future failures and other faults (abnormal situations) in the equipment itself. This article is devoted to the issue of creating models of normal behavior of various characteristics of communication channels, which is central in creating predictive diagnostics systems. Examples of such models are given.

Keywords
creating models, IP Quality Monitor (IQM), Model of Normal Behavior (MNB)

Article Details

How to Cite
Chikalo, O. V., & Obukhov, I. A. (2023). Detection of abnormal situations in the operation of communication channels. Research on Intelligent Manufacturing and Assembly, 2(1), 41-51. https://doi.org/10.25082/RIMA.2023.01.001
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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

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