Flank wear prediction in drilling using back propagation neural network and radial basis function network
Author:
Publisher
Elsevier BV
Subject
Software
Reference24 articles.
1. Drill wear monitoring using neural network;Lin;Int. J. Machine Tool Manuf.,1996
2. Drill wear monitoring based on current signals;Xiaoli;J. Wear,1999
3. Prediction of flank wear of different coated drills for JIS SUS 304 stainless steel using neural network;Tsao;J. Mater. Process. Technol.,2002
4. Tool wear monitoring in drilling using force signals;Lin;Wear,1995
5. Drilling wear detection and classification using vibration signals and artificial neural network;Abbu-Mahfouz;Int. J. Machine Tool Manuf.,2003
Cited by 103 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. A comparative study of machine learning frameworks for predicting CO2 conversion into light olefins;Fuel;2025-01
2. Remaining useful lifetime prediction for milling blades using a fused data prediction model (FDPM);Journal of Intelligent Manufacturing;2024-05-11
3. Toward predicting thermal conductivity of hybrid nanofluids: Application of a committee of robust neural networks, theoretical, and empirical models;Powder Technology;2024-03
4. TRIBOLOGY INTERFACE OVER DIGITAL TECHNOLOGIES AND ENVISAGING TRIBOLOGY WITH PATENT LANDSCAPE — A QUEER REVIEW;Surface Review and Letters;2024-02-09
5. Experimental investigation and optimization of process stability in drilling of Al 7075-T651 using indexable insert drills;Journal of the Brazilian Society of Mechanical Sciences and Engineering;2023-07-22
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