ULTRASONIC DETECTION METHOD AND SYSTEM FOR PARTIAL DISCHARGE OF POWER DISTRIBUTION NETWORK

The present invention relates to a deep learning-based power distribution network partial discharge ultrasonic test method and system. The method comprises: training a neural network model; converting an ultrasonic signal of a partial discharge defect of a power distribution network device to be tested into Mel Frequency Cepstral data; inputting the Mel Frequency Cepstral data into a periodic neural network layer for learning to obtain a first feature; inputting an image of the partial discharge defect of the power distribution network device to be tested into a convolutional neural network layer for learning to obtain a second feature; linearly stitching the first feature and the second feature to obtain a third feature; and inputting the third feature into a multi-layer full connection layer to obtain a test result of the power distribution network device to be tested. Compared with the existing manual tests, the test method and system provided in the present invention are more efficient and accurate.