Abnormal recognition of power equipment based on the improved neural network

Abstract

In order to ensure the normal operation of power system and improve the recognition accuracy of the substation abnormality, an abnormal recognition method based on improved neural network for power equipment is proposed. Firstly, the abnormal image of the substation is collected and denoised. Then, the features of the abnormal image are extracted and dimensionless processed. Thirdly, the improved neural network is used to establish the image recognition model of the abnormal image. Finally, the simulation experiment of this method is carried out. The experimental results show that the proposed method can not only obtain better recognition results, but also meet the detection requirements of the abnormal image.