Fault-arc identification method, device and apparatus, and storage medium

Abstract

A fault-arc identification method, device and apparatus, and a storage medium. The method comprises: performing sampling on a target arc at a high frequency, and obtaining a high-frequency sampling signal (S); preprocessing the high-frequency sampling signal, and obtaining a processed sampling signal (S); performing feature extraction on the processed sampling signal, and obtaining a target arc feature (S); and inputting the target arc feature to a neural network model, obtaining a target output result, and determining, according to the target output result, whether the target arc is a fault-arc (S). Performing sampling on a target arc at a high frequency can obtain more arc features from the target arc. Moreover, since a neural network model has favorable data classification capability, using a neural network model to perform determination with respect to the target arc can improve the accuracy and reliability of a fault-arc detection result.