Název: | Comparison of One-Dimensional and Two-Dimensional Reference Signal Representation for Insulation Aging State Recognition |
Autoři: | Olkhovskiy, Mikhail Müllerová, Eva Martínek, Petr |
Citace zdrojového dokumentu: | OLKHOVSKIY, M. MÜLLEROVÁ, E. MARTÍNEK, P. Comparison of One-Dimensional and Two-Dimensional Reference Signal Representation for Insulation Aging State Recognition. In Proceedings of the 2022 International Conference on Diagnostics in Electrical Engineering (Diagnostika) : CDEE 2022. Pilsen: University of West Bohemia in Pilsen, 2022. s. nestránkováno. ISBN: 978-1-66548-082-6 |
Datum vydání: | 2022 |
Nakladatel: | University of West Bohemia in Pilsen |
Typ dokumentu: | konferenční příspěvek ConferenceObject |
URI: | 2-s2.0-85141397372 http://hdl.handle.net/11025/50534 |
ISBN: | 978-1-66548-082-6 |
Klíčová slova v dalším jazyce: | one-dimensional neural networks;convolutional networks;reference signal processing;signal analysis;cable insulation;classification accuracy |
Abstrakt v dalším jazyce: | This paper compares the performance of one-dimensional and two-dimensional convolutional neural networks in the task of analyzing a reference signal while determining the degradation level of single-core polymer-insulated cable. In this work was designed the set of reference signals and several forms of representing of these signals in the form of one-dimensional and two-dimensional tensors. Then, an experimental determination of the most effective version of the reference signal is carried out in terms of classification accuracy and the most effective form of representation of this signal was found, as well as most efficient type of neural network. |
Práva: | © IEEE |
Vyskytuje se v kolekcích: | OBD |
Soubory připojené k záznamu:
Soubor | Velikost | Formát | |
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Mullerova_Comparison_of_One-Dimensional.pdf | 2,02 MB | Adobe PDF | Zobrazit/otevřít |
Použijte tento identifikátor k citaci nebo jako odkaz na tento záznam:
http://hdl.handle.net/11025/50534
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