Original title: Platform for detection and monitoring of the devices connected to the power grid
Authors: Macho, Radim ; Musil, Petr
Document type: Papers
Language: eng
Publisher: Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií
Abstract: This paper summarizes the creation of a platform for detection and monitoring devices connected to the power grid. The platform will provide monitoring of the power grid, for the purpose of detecting connected devices, with regard, to their potential threat to the operation of critical systems. The monitoring and detection will be performed using data provided by power-line communication modems connected to the monitored power grid. Data provided by power-line communication modems are in the form of the frequency spectrum of the noise. The the frequency spectrum of the noise will be statistically described, and this statistical description of the data will be used for training the machine learning model and subsequent detection of connected devices based on machine learning model prediction. All calculations of the statistical description of data, creation of machine learning model and subsequent detection and monitoring will be processed locally on a microcomputer using custom-developed code.
Keywords: electrical network; frequency spectrum of the noise; machine learning; power-line communication
Host item entry: Proceedings II of the 31st Conference STUDENT EEICT 2025: Selected papers, ISBN 978-80-214-6320-2, ISSN 2788-1334

Institution: Brno University of Technology (web)
Document availability information: Fulltext is available in the Brno University of Technology Digital Library.
Original record: https://hdl.handle.net/11012/255326

Permalink: http://www.nusl.cz/ntk/nusl-687831


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Conference materials > Papers