Reference Signal Processing for Aging State Recognition
| dc.contributor.author | Olkhovskiy, Mikhail | |
| dc.contributor.author | Müllerová, Eva | |
| dc.contributor.author | Martínek, Petr | |
| dc.contributor.editor | Pinker, Jiří | |
| dc.date.accessioned | 2021-10-29T05:46:28Z | |
| dc.date.available | 2021-10-29T05:46:28Z | |
| dc.date.issued | 2021 | |
| dc.description.abstract-translated | 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. | en |
| dc.description.sponsorship | SGS–2021–018 | en |
| dc.format | 4 s. | cs |
| dc.format.mimetype | application/pdf | |
| dc.identifier.citation | 2021 International Conference on Applied Electronics: Pilsen, 7th – 8th September 2021, Czech Republic, p. 119-122. | en |
| dc.identifier.isbn | 978–80–261–0972–3 (Print) | |
| dc.identifier.isbn | 978–80–261–0973–0 (Online) | |
| dc.identifier.issn | 1803–7232 (Print) | |
| dc.identifier.issn | 1805–9597 (Online) | |
| dc.identifier.uri | http://hdl.handle.net/11025/45578 | |
| dc.language.iso | en | en |
| dc.publisher | University of West Bohemia | en |
| dc.rights | © University of West Bohemia, 2021 | en |
| dc.rights.access | openAccess | en |
| dc.subject | referenční signál | cs |
| dc.subject | zpracování signálu | cs |
| dc.subject | stárnutí | cs |
| dc.subject | konvoluční neuronové sítě | cs |
| dc.subject.translated | reference signal | en |
| dc.subject.translated | signal processing | en |
| dc.subject.translated | aging | en |
| dc.subject.translated | convolutional neural network | en |
| dc.title | Reference Signal Processing for Aging State Recognition | en |
| dc.type | conferenceObject | en |
| dc.type | konferenční příspěvek | cs |
| dc.type.status | Peer-reviewed | en |
| dc.type.version | publishedVersion | en |
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