Classification of Guide Rail Block by Xception Model

IF 3.1 4区 医学 Q2 BIOPHYSICS Journal of Applied Biomaterials & Functional Materials Pub Date : 2022-12-30 DOI:10.35745/afm2022v02.04.0003
Jun-Jie Liao, Jing-Wei Zhang, Bing-En Liu, K. Lee
{"title":"Classification of Guide Rail Block by Xception Model","authors":"Jun-Jie Liao, Jing-Wei Zhang, Bing-En Liu, K. Lee","doi":"10.35745/afm2022v02.04.0003","DOIUrl":null,"url":null,"abstract":"Linear guide rail blocks are used in linear slide rail accessories to scrape off oil stains in the rails, installed on the front and rear ends of the slider. They are also used in milling machines, lathes, automated machines, robotic arms, electronic instruments, and so on. At present, the industry relies on manpower to carry out the quality inspection of this rail block which is difficult to standardize. Thus, automatic and digital deep learning inspection technology is introduced for the inspection. To understand the suitability of deep learning techniques applied to the linear guide block inspection process, we adopt the convolutional neural network model architecture and use the Xception model. In model training, the training effect is improved by amplifying the image method and testing many different defects. Through the Xception model, the training accuracy is about 98.7% after 30 epochs, the validation accuracy is about 97.4%, and the test accuracy is about 91.8%.","PeriodicalId":14985,"journal":{"name":"Journal of Applied Biomaterials & Functional Materials","volume":"1 1","pages":""},"PeriodicalIF":3.1000,"publicationDate":"2022-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Applied Biomaterials & Functional Materials","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.35745/afm2022v02.04.0003","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOPHYSICS","Score":null,"Total":0}
引用次数: 1

Abstract

Linear guide rail blocks are used in linear slide rail accessories to scrape off oil stains in the rails, installed on the front and rear ends of the slider. They are also used in milling machines, lathes, automated machines, robotic arms, electronic instruments, and so on. At present, the industry relies on manpower to carry out the quality inspection of this rail block which is difficult to standardize. Thus, automatic and digital deep learning inspection technology is introduced for the inspection. To understand the suitability of deep learning techniques applied to the linear guide block inspection process, we adopt the convolutional neural network model architecture and use the Xception model. In model training, the training effect is improved by amplifying the image method and testing many different defects. Through the Xception model, the training accuracy is about 98.7% after 30 epochs, the validation accuracy is about 97.4%, and the test accuracy is about 91.8%.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
用异常模型对导轨块进行分类
直线导轨块是用于直线滑动导轨上刮去导轨上油污的附件,安装在滑块的前后端。它们还用于铣床、车床、自动化机械、机械臂、电子仪器等。目前行业对这种钢轨块的质量检测主要依靠人力进行,难以标准化。因此,引入了自动化和数字化深度学习检测技术进行检测。为了了解深度学习技术应用于线性导块检测过程的适用性,我们采用卷积神经网络模型架构并使用Xception模型。在模型训练中,通过放大图像的方法和检测多种缺陷来提高训练效果。通过异常模型,30次后的训练准确率约为98.7%,验证准确率约为97.4%,测试准确率约为91.8%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Journal of Applied Biomaterials & Functional Materials
Journal of Applied Biomaterials & Functional Materials BIOPHYSICS-ENGINEERING, BIOMEDICAL
CiteScore
4.40
自引率
4.00%
发文量
36
审稿时长
>12 weeks
期刊介绍: The Journal of Applied Biomaterials & Functional Materials (JABFM) is an open access, peer-reviewed, international journal considering the publication of original contributions, reviews and editorials dealing with clinical and laboratory investigations in the fast growing field of biomaterial sciences and functional materials. The areas covered by the journal will include: • Biomaterials / Materials for biomedical applications • Functional materials • Hybrid and composite materials • Soft materials • Hydrogels • Nanomaterials • Gene delivery • Nonodevices • Metamaterials • Active coatings • Surface functionalization • Tissue engineering • Cell delivery/cell encapsulation systems • 3D printing materials • Material characterization • Biomechanics
期刊最新文献
Vanillin loaded-physically crosslinked PVA/chitosan/itaconic membranes for topical wound healing applications Physicomechanical, morphological and tribo-deformation characteristics of lightweight WC/AZ31B Mg-matrix biocomposites for hip joint applications Effects of different antiviral mouthwashes on the surface roughness, hardness, and color stability of composite CAD/CAM materials In vitro assessment of Momordica charantia/Hypericum perforatum oils loaded PCL/Collagen fibers: Novel scaffold for tissue engineering. In vitro chemical treatment of silk increases the expression of pro-inflammatory factors and facilitates degradation in rats.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1