Research on Gear Surface Damage Recognition Based on Small Sample Deep Learning

Research on Gear Surface Damage Recognition Based on Small Sample Deep Learning

Gear surface damage is an important factor affecting gear transmission. It is extremely important to improve the efficiency and accuracy of gear surface damage identification. ResNet recognition model of gear surface damage is established based on Pytorch architecture, dataset is expanded by means o...

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Bibliographic Details
Main Authors: Wang Xiaopeng, Hua Hongpeng, Lu Changqing, Peng Kun, Zhong Yuan, Wu Biqiong
Format: Article
Language:zho
Published: Editorial Office of Journal of Mechanical Transmission 2024-04-01
Series:Jixie chuandong
Subjects:
Convolutional neural network
Gear surface damage
Deep learning
Transfer learning
Online Access:http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2024.04.014
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