Deep convolutional neural network-based in-process tool condition monitoring in abrasive belt grinding
Author:
Funder
Fundamental Research Funds for the Central Universities
Publisher
Elsevier BV
Subject
General Engineering,General Computer Science
Reference24 articles.
1. Experimental research and modeling of life-cycle material removal in belt finishing for titanium alloy;Xiao;J. Manuf. Process.,2017
2. Quality and inspection of machining operations: tool condition monitoring;Roth;J. Manuf. Sci. Eng.,2010
3. Wear mechanism maps for the belt finishing of steel and cast iron;Mezghani;Wear,2009
4. Comprehensive investigation on mechanisms of dry belt grinding on AISI52100 hardened steel;Wang;Tribol. Int.,2018
5. In-process tool condition monitoring in compliant abrasive belt grinding process using support vector machine and genetic algorithm;Pandiyan;J. Manuf. Process.,2018
Cited by 58 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. Prediction of Abrasive Belt Wear Height for Screw Rotor Belt Grinding Based on BP Neural Network with Improved Skyhawk Algorithm;International Journal of Precision Engineering and Manufacturing;2024-08-28
2. Research progress on intelligent monitoring of tool condition based on deep learning;The International Journal of Advanced Manufacturing Technology;2024-08-20
3. Cost effective detection of uneven mounting fault in rotary wing drone motors with a CNN based method;Signal, Image and Video Processing;2024-08-12
4. Research on grinding wheel wear measurement methods: Current status and future perspectives;SCIENTIA SINICA Technologica;2024-07-01
5. Automatic recognition of grinding quality of titanium alloy using nanofluid/ultrasonic atomization microlubrication system based on convolutional neural network;2024-06-14
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