Determination of the Optimal Reference Signal Frequency in the Task of Power Spectrum Pattern Classification

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23220%2F22%3A43968914" target="_blank" >RIV/49777513:23220/22:43968914 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/9814106" target="_blank" >https://ieeexplore.ieee.org/document/9814106</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/EPE54603.2022.9814106" target="_blank" >10.1109/EPE54603.2022.9814106</a>

Result language
angličtina
Original language name
Determination of the Optimal Reference Signal Frequency in the Task of Power Spectrum Pattern Classification
Original language description
This article describes the results of an experiment in which a reference signal with its subsequent processing is used to obtain information on the degree of cable insulation degradation. A one-dimensional convolutional neural network is used for signal classification. The reference signal was tested with two methods of insulation degradation, thermal and electrical. The signal was preprocessed to obtain its power spectrum density. After that the obtained result was sent to the input of the neural network. Based on the learning and validation curves and the confusion classification matrices, the optimal frequencies of the reference signal were found.
Czech name
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Czech description
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Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 2022 22nd International Scientific Conference on Electric Power Engineering (EPE 2022)
ISBN
978-1-66541-056-4
ISSN
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e-ISSN
2376-5631
Number of pages
4
Pages from-to
1-4
Publisher name
VSB - Technical University of Ostrava
Place of publication
Ostrava
Event location
Kouty nad Desnou, Czech Republic
Event date
Jun 8, 2022
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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