Analysis of Defect Detection Algorithm for High-voltage Electrical Cabinets Based on Deep Learning
This paper describes the construction of a comprehensive dataset of defects in high-voltage electrical cabinets,including various environmental conditions and defect types.At the same time,it designs a model architecture based on convolutional neural networks and performs a series of optimization operations.The experiment showed that the model achieved excellent performance on the test set.
deep learninghigh-voltage electrical cabinetsdefect detectionalgorithm analysis
NETL
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万方数据
