Detecting Gear Surface Defects Using Background-Weakening Method and Convolutional Neural Network
Author:
Affiliation:
1. School of Mechanical Engineering, Guizhou University, Guiyang 550025, China
2. Key Laboratory of Advanced Manufacturing Technology of Ministry of Education, Guizhou University, Guiyang 550025, China
Abstract
Funder
Collaborative Innovation of Guizhou Province
Publisher
Hindawi Limited
Subject
Electrical and Electronic Engineering,Instrumentation,Control and Systems Engineering
Link
http://downloads.hindawi.com/journals/js/2019/3140980.pdf
Reference28 articles.
1. The accuracy of image analysis methods in spur gear metrology
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5. Modified Convolutional Neural Network Based on Dropout and the Stochastic Gradient Descent Optimizer
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