Abstract
The modern capabilities of intelligent systems are increasingly spreading in areas that were previously considered the exclusive work of people-experts with relevant experience in one area or another. The possibilities of machine learning in the electric power industry, obtaining forecasts based on data from intelligent sensors for various purposes, were no exception. This article proposes the concept of an intelligent system for controlling the condition monitoring process based on data from intelligent sensors. The novelty of the concept lies in considering a solution to the problem of integrating information systems associated with semi-structured subject-oriented information flows at an electric power enterprise using the methods of set theory and category theory.
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