Cable fault detection method based on artificial neural network

The invention discloses a cable fault detection method based on an artificial neural network, and the method comprises the following steps: S1, collecting sample data when a cable breaks down, and obtaining a real-time fault sample; s2, performing normalization processing on the real-time fault sample to obtain a normalized sample; s3, improving the artificial neural network by adopting a Dropout algorithm, and constructing a cable fault detection model; s4, training the cable fault detection model by using a gradient descent method to obtain a trained cable fault detection model; and S5, inputting the normalized sample into the trained cable fault detection model, and outputting a fault detection result. According to the method, the cable fault detection model is constructed and trained by improving the artificial neural network, the precision and accuracy of cable fault detection are improved, a real-time and effective means is provided for actual cable fault detection, and the safety and reliability of pow