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- W3204302497 abstract "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." @default.
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- W3204302497 date "2021-09-07" @default.
- W3204302497 modified "2023-10-16" @default.
- W3204302497 title "Reference Signal Processing for Aging State Recognition" @default.
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- W3204302497 doi "https://doi.org/10.23919/ae51540.2021.9542898" @default.
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