Bayesian and regression approaches to on-line prediction of residual tool life
Author:
Publisher
Wiley
Subject
Management Science and Operations Research,Safety, Risk, Reliability and Quality
Cited by 29 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. Identification of Tool Wear Based on Infographics and a Double-Attention Network;Machines;2023-09-26
2. Tool Condition Monitoring Methods Applicable in the Metalworking Process;Archives of Computational Methods in Engineering;2023-07-22
3. Machine Learning as an Enabler for Automated Assistance Systems for the Classification of Tool Wear on Milling Tools;Annals of Scientific Society for Assembly, Handling and Industrial Robotics 2022;2023
4. Online damage detection of cutting tools using Dirichlet process mixture models;Mechanical Systems and Signal Processing;2022-11
5. Monte Carlo Method–Based Tool Life Prediction during the End Milling of Ti-6Al-4V Alloy for Smart Manufacturing;Smart and Sustainable Manufacturing Systems;2021-12-21
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