Reference signal processing for aging state recognition
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23220%2F21%3A43962634" target="_blank" >RIV/49777513:23220/21:43962634 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/9542898" target="_blank" >https://ieeexplore.ieee.org/document/9542898</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.23919/AE51540.2021.9542898" target="_blank" >10.23919/AE51540.2021.9542898</a>
Alternative languages
Result language
angličtina
Original language name
Reference signal processing for aging state recognition
Original language description
In 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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20201 - Electrical and electronic engineering
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
International Conference on Applied Electronics (AE 2021) : /proceedings/
ISBN
978-80-261-0972-3
ISSN
1803-7232
e-ISSN
1805-9597
Number of pages
4
Pages from-to
119-122
Publisher name
University of West Bohemia
Place of publication
Pilsen
Event location
Pilsen, Czech Republic
Event date
Sep 7, 2021
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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