Online recognition method of partial discharge pattern for transformer bushings based on small sample ultra-micro-CNN network

Online recognition method of partial discharge pattern for transformer bushings based on small sample ultra-micro-CNN network

Blog Article

Oil impregnated paper bushing is the key equipment Cabinet connecting a transformer and a power grid.Insulation deterioration may cause partial discharge, which poses a great threat to the safe operation of power systems.In order to realize the online diagnosis for partial discharge and automatic identification of insulation defects of transformer bushings, an ultra-micro-convolutional neural network with only more than 3000 parameters is designed, which adaptively extracts partial discharge characteristics based on small samples, so as to Multi-Meter judge the defect category and the reasons.The accuracy rate can reach 97.1%, the computational complexity is lower, the real-time performance is stronger, and it can be easily deployed on various embedded platforms.