Determination of the Optimal Reference Signal Frequency in the Task of Power Spectrum Pattern Classification
| dc.contributor.author | Olkhovskiy, Mikhail | |
| dc.contributor.author | Müllerová, Eva | |
| dc.contributor.author | Martínek, Petr | |
| dc.date.accessioned | 2023-08-14T10:00:18Z | |
| dc.date.available | 2023-08-14T10:00:18Z | |
| dc.date.issued | 2022 | |
| dc.description.abstract-translated | 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. | en |
| dc.format | ||
| dc.format | 4 s. | cs |
| dc.format.mimetype | application/pdf | |
| dc.identifier.citation | OLKHOVSKIY, M. MÜLLEROVÁ, E. MARTÍNEK, P. Determination of the Optimal Reference Signal Frequency in the Task of Power Spectrum Pattern Classification. In Proceedings of the 2022 22nd International Scientific Conference on Electric Power Engineering (EPE 2022). Ostrava: VSB - Technical University of Ostrava, 2022. s. 1-4. ISBN: 978-1-66541-056-4 | cs |
| dc.identifier.doi | 10.1109/EPE54603.2022.9814106 | |
| dc.identifier.isbn | 978-1-66541-056-4 | |
| dc.identifier.obd | 43939914 | |
| dc.identifier.uri | 2-s2.0-85135107653 | |
| dc.identifier.uri | http://hdl.handle.net/11025/53859 | |
| dc.language.iso | ||
| dc.language.iso | en | en |
| dc.project.ID | SGS-2021-018/Analýza, simulace a pokročilé vyhodnocení dodávky a spotřeby elektrické energie při dodržení optimálních spolehlivostních a kvalitativních parametrů s respektováním integrace obnovitelných zdrojů, akumulace a elektromobility do elektrizační soustavy při využití aktuálních, inovativních metod teoretického a aplikačního výzkumu v elektroenergetice | cs |
| dc.publisher | IEEE | en |
| dc.relation.ispartofseries | Proceedings of the 2022 22nd International Scientific Conference on Electric Power Engineering (EPE 2022) | en |
| dc.rights | Plný text je přístupný v rámci univerzity přihlášeným uživatelům | cs |
| dc.rights | © IEEE | en |
| dc.rights.access | restrictedAccess | en |
| dc.subject.translated | convolutional neural networks | en |
| dc.subject.translated | reference signal processing | en |
| dc.subject.translated | signal spectrum | en |
| dc.subject.translated | signal analysis | en |
| dc.subject.translated | cable insulation | en |
| dc.subject.translated | classification accuracy | en |
| dc.title | Determination of the Optimal Reference Signal Frequency in the Task of Power Spectrum Pattern Classification | en |
| dc.type | konferenční příspěvek | cs |
| dc.type | ConferenceObject | en |
| dc.type.status | ||
| dc.type.status | Peer-reviewed | en |
| dc.type.version | publishedVersion | en |
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