Aircraft cable fault detection and identification method based on power line carrier technology

The invention discloses an aircraft cable fault detection and identification method based on a power line carrier technology, and the method comprises the following steps: firstly, transmitting a carrier signal along a detected line through a communication device; secondly, a receiving end estimating a channel transmission function of the cable through dynamic compensation of the signal; then, performing wavelet decomposition on the obtained channel transmission function, and performing reconstruction after part of detail components are removed; then, performing wavelet transformation on the reconstructed data to generate a time-frequency graph, repeating an experiment to obtain a large number of time-frequency graphs, and training a CNN neural network based on alexnet transfer learning; and finally, identifying a fault through the neural network model. According to the method, channel transmission characteristics are estimated by using differences of signals in different states when the signals are propagate