Surface fault location of conveyor belt based on saliency and deep convolution neural network

Surface fault location of conveyor belt based on saliency and deep convolution neural network

A surface fault location of conveyor belt based on saliency and deep convolution neural network was proposed. The method imprints figures on the edge of upper and lower surfaces of conveyor belt, and uses image processing technology to detect the number in belt image, so as to indirectly locate surf...

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Bibliographic Details
Main Authors: ZHAO Yanfei, YANG Yanli, WANG Lijua
Format: Article
Language:zho
Published: Editorial Department of Industry and Mine Automation 2016-12-01
Series:Gong-kuang zidonghua
Subjects:
conveyor belt
fault location
neural network
visual saliency
image processing
Online Access:http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2016.12.016

Internet

http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2016.12.016

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