Název: Reference Signal Processing for Aging State Recognition
Autoři: Olkhovskiy, Mikhail
Müllerová, Eva
Martínek, Petr
Citace zdrojového dokumentu: 2021 International Conference on Applied Electronics: Pilsen, 7th – 8th September 2021, Czech Republic, p. 119-122.
Datum vydání: 2021
Nakladatel: University of West Bohemia
Typ dokumentu: conferenceObject
konferenční příspěvek
URI: http://hdl.handle.net/11025/45578
ISBN: 978–80–261–0972–3 (Print)
978–80–261–0973–0 (Online)
ISSN: 1803–7232 (Print)
1805–9597 (Online)
Klíčová slova: referenční signál;zpracování signálu;stárnutí;konvoluční neuronové sítě
Klíčová slova v dalším jazyce: reference signal;signal processing;aging;convolutional neural network
Abstrakt v dalším jazyce: n this work we presented the results of the experiment in which a reference signal was used for determining degradation level of cable insulation. A set of reference signals was constructed using programing language. Onwards, each variant of the constructed signal was subsequently sent to the coaxial cable by aim of a following: digital–analog converter, radio frequency power amplifier with high linearity, and high frequency current injection air core transformer. The signals, passed through the cable, were received with a current transformer and processed using algorithm written in Python language. Processed signals were utilized for constructing data set for modern one-dimensional convolutional neural network. Neural network was defined in Keras, then optimal configuration of the network structure and its parameters were found. Also, visualization by gradient–based localization method was used to interpret the results of classification for constructed classes. Based on the classification accuracy, the most appropriate parameters of reference signal were determined.
Práva: © University of West Bohemia, 2021
Vyskytuje se v kolekcích:Konferenční příspěvky / Conference Papers (KEE)
Applied Electronics 2021
Applied Electronics 2021

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