Abstract: Disclosed is a multi-core cable fault classification system which includes a reference signal measurement unit configured to measure a core-specific reference signal generated by applying an electromagnetic signal to a multi-core cable having at least two cores, a reflected-signal measurement unit configured to measure a core-specific reflected signal generated by reflecting the generated core-specific reference signal at a point of the multi-core cable, a data processing unit configured to extract, from time-series data for the measured core-specific reflected signal, core-specific partial time-series data based on whether baseline data of the multi-core cable is present, configured to transform the core-specific partial time-series data into a time-frequency distribution, and configured to extract faulty-core determination data, and a faulty core classification unit configured to classify a fault core from the multi-core cable by inputting the extracted faulty-core determination data to a neural network.

Abstract: Disclosed is a multi-core cable fault classification system which includes a reference signal measurement unit configured to measure a core-specific reference signal generated by applying an electromagnetic signal to a multi-core cable having at least two cores, a reflected-signal measurement unit configured to measure a core-specific reflected signal generated by reflecting the generated core-specific reference signal at a point of the multi-core cable, a data processing unit configured to extract, from time-series data for the measured core-specific reflected signal, core-specific partial time-series data based on whether baseline data of the multi-core cable is present, configured to transform the core-specific partial time-series data into a time-frequency distribution, and configured to extract faulty-core determination data, and a faulty core classification unit configured to classify a fault core from the multi-core cable by inputting the extracted faulty-core determination data to a neural network.

Abstract: A reflected-wave processing apparatus according to one embodiment of the present invention may comprise: a reference signal generation unit for applying, to a cable, a first reference signal, the frequency of which increases over time, and a second reference signal, the frequency of which decreases over time; a reflected-signal acquisition unit for acquiring a first reflected signal and a second reflected signal which are reflected from the cable upon applying the first and second reference signals thereto; and a signal analysis unit for analyzing the first and second reflected signals.

Abstract: A reflected-wave processing apparatus according to one embodiment of the present invention may comprise: a reference signal generation unit for applying, to a cable, a first reference signal, the frequency of which increases over time, and a second reference signal, the frequency of which decreases over time; a reflected-signal acquisition unit for acquiring a first reflected signal and a second reflected signal which are reflected from the cable upon applying the first and second reference signals thereto; and a signal analysis unit for analyzing the first and second reflected signals.