Insulator recognition based on convolution neural network

Insulator recognition based on convolution neural network

Insulator fault detection plays an important role in maintaining the safety of transmission lines. Insulator recognition is a prerequisite for its fault detection. An insulator recognition algorithm based on convolution neural network (CNN) is proposed. A dataset is established to train the construc...

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Bibliographic Details
Main Authors: Yang Yanli, Wang Lijuan
Format: Article
Language:English
Published: EDP Sciences 2017-01-01
Series:MATEC Web of Conferences
Online Access:https://doi.org/10.1051/matecconf/201713900035
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spelling doaj-9bb8d557aee94680ac63dac2c88201482021-02-02T03:12:06ZengEDP SciencesMATEC Web of Conferences2261-236X2017-01-011390003510.1051/matecconf/201713900035matecconf_icmite2017_00035Insulator recognition based on convolution neural networkYang YanliWang LijuanInsulator fault detection plays an important role in maintaining the safety of transmission lines. Insulator recognition is a prerequisite for its fault detection. An insulator recognition algorithm based on convolution neural network (CNN) is proposed. A dataset is established to train the constructed CNN. The correct rate is 98.52% for 1220 training samples and the accuracy rate of testing is 89.04% on 1305 samples. The classification result of the CNN is further used to segment the insulator image. The test results show that the proposed method can realize the effective segmentation of insulators.https://doi.org/10.1051/matecconf/201713900035
collection DOAJ
language English
format Article
sources DOAJ
author Yang Yanli
Wang Lijuan
spellingShingle Yang Yanli
Wang Lijuan
Insulator recognition based on convolution neural network
MATEC Web of Conferences
author_facet Yang Yanli
Wang Lijuan
author_sort Yang Yanli
title Insulator recognition based on convolution neural network
title_short Insulator recognition based on convolution neural network
title_full Insulator recognition based on convolution neural network
title_fullStr Insulator recognition based on convolution neural network
title_full_unstemmed Insulator recognition based on convolution neural network
title_sort insulator recognition based on convolution neural network
publisher EDP Sciences
series MATEC Web of Conferences
issn 2261-236X
publishDate 2017-01-01
description Insulator fault detection plays an important role in maintaining the safety of transmission lines. Insulator recognition is a prerequisite for its fault detection. An insulator recognition algorithm based on convolution neural network (CNN) is proposed. A dataset is established to train the constructed CNN. The correct rate is 98.52% for 1220 training samples and the accuracy rate of testing is 89.04% on 1305 samples. The classification result of the CNN is further used to segment the insulator image. The test results show that the proposed method can realize the effective segmentation of insulators.
url https://doi.org/10.1051/matecconf/201713900035
work_keys_str_mv AT yangyanli insulatorrecognitionbasedonconvolutionneuralnetwork
AT wanglijuan insulatorrecognitionbasedonconvolutionneuralnetwork
_version_ 1724308422262784000

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