Tool monitoring of end milling based on gap sensor and machine learning-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Tool monitoring of end milling based on gap sensor and machine learning

Published:2021-01-12 Issue:12 Volume:12 Page:10615-10627
ISSN:1868-5137
Container-title:Journal of Ambient Intelligence and Humanized Computing
language:en
Short-container-title:J Ambient Intell Human Comput

Author:

Jaini Siti Nurfadilah Binti,Lee Deugwoo^ORCID,Lee Seungjun,Kim Miru,Kwon Yongseung

Funder

Ministry of Trade, Industry and Energy

Publisher

Springer Science and Business Media LLC

Subject

General Computer Science

Link

https://link.springer.com/content/pdf/10.1007/s12652-020-02875-2.pdf

Reference38 articles.

1. Akinosho TD, Oyedele LO, Bilal M, Ajayi AO, Delgado MD, Akinade OO, Ahmed AA (2020) Deep learning in the construction industry: a review of present status and future innovations. J Build Eng 32:101827

2. Atli AV, Urhan O, Ertürk S, Sönmez M (2006) A computer vision-based fast approach to drilling tool condition monitoring. Proc Inst Mech Eng Part B 220:1409–1415

3. Bahr B, Motavalli S, Arfi T (1997) Sensor fusion for monitoring machine tool conditions. Int J Comput Integr Manuf 10(5):314–323. https://doi.org/10.1080/095119297131066

4. Cartas-Rosado R, Becerra-Luna B, Martínez-Memijea R et al (2020) Continuous wavelet transform based processing for estimating the power spectrum content of heart rate variability during hemodiafiltration. Biomed Signal Process Control 62:102031

5. Cho S, Asfour S, Onar A, Kaundinya N (2005) Tool breakage detection using support vector machine learning in a milling process. Int J Mach Tools Manuf 45:241–249

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Bayesian Optimization for Sparse Neural Networks With Trainable Activation Functions;IEEE Transactions on Pattern Analysis and Machine Intelligence;2024-10

2. Automatic punching stroke search and compensation;The International Journal of Advanced Manufacturing Technology;2024-08-15

3. An end-to-end deep learning approach for tool wear condition monitoring;The International Journal of Advanced Manufacturing Technology;2024-06-12

4. AI for tribology: Present and future;Friction;2024-03-12

5. Non-smooth Bayesian learning for artificial neural networks;Journal of Ambient Intelligence and Humanized Computing;2022-06-25

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3