Fault Detection Method of Power Insulator Based on Deep Convolution Neural Network
DOI:
https://doi.org/10.13052/dgaej2156-3306.3621Keywords:
Deep convolution neural network, electrical insulation, fault detection.Abstract
Aiming at the problem of low detection accuracy of traditional power insu-
lator fault detection methods, a power insulator fault detection method based
on deep convolution neural network is designed. For the training of deep
convolution neural network, the fault detection of power insulator based on
deep convolution neural network is realized by anchor design, loss function
design, candidate region selection mechanism establishment and sharing
convolution features. The experimental results show that the fault detection
method of power insulator based on deep convolution neural network is more
accurate than the traditional method, and the detection time is less.
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