Effect of different features to drill-wear prediction with back propagation neural network
Author:
Publisher
Elsevier BV
Subject
General Engineering
Reference12 articles.
1. Advanced monitoring of machining operations;Teti;CIRP Ann Manuf Technol,2010
2. A summary of methods applied to tool condition monitoring in drilling;Jantunen;Int J Mach Tools Manuf,2002
3. The relationship between dynamic components of cutting force and adhesion of tool–chip interface;Ryo Tezuka;Key Eng Mater,2009
4. Wavelet analysis of sensor signals for tool condition monitoring: a review and some new results;Zhu;Int J Mach Tools Manuf,2009
5. Flank wear prediction in drilling using back propagation neural network and radial basis function network;Panda;Appl Soft Comput,2008
Cited by 42 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. Machine Tool Wear Prediction Technology Based on Multi-Sensor Information Fusion;Sensors;2024-04-21
2. Health monitoring of CNC machining processes using machine learning and wavelet packet transform;Mechanical Systems and Signal Processing;2024-04
3. A machine learning approach for simulation of multi-stage laser forming process;J ADV MECH DES SYST;2023
4. A machine learning approach for simulation of multi-stage laser forming process;Journal of Advanced Mechanical Design, Systems, and Manufacturing;2023
5. Tool wear mechanism, monitoring and remaining useful life (RUL) technology based on big data: a review;SN Applied Sciences;2022-07-23
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