KEYWORDS: Reflection, Time-frequency analysis, Signal detection, Design and modelling, Signal processing, Signal generators, Signal attenuation, Head, Feature extraction, Energy transfer
Conventional cable joint fault detection methods use covariance matrices to extract fault features with high sample transformation amplitudes, resulting in significant differences between the obtained Wigner-Hough transformation peaks and the actual ones. Therefore, a new cable joint fault detection method is required based on the extended time-frequency domain reflection method. Based on the energy transfer characteristics of the cable, a transmission line schematic is drawn to extract the fault characteristics. Then the fault frequency domain is divided by combining the extended time frequency domain reflection to achieve cable joint fault detection. The experimental results show that the peak values of Wigner-Hough transitions obtained by the designed cable joint fault detection method are less different from the actual ones, which proves that its fault detection effect is good, accurate, and has a certain application value.
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