Naïve Bayes and Bayes Net Classifier for Fault Diagnosis of End Mill Tool Using Wavelet Analysis: A Comparative Study
Author:
Publisher
Springer Science and Business Media LLC
Subject
Microbiology (medical),Immunology,Immunology and Allergy
Link
https://link.springer.com/content/pdf/10.1007/s42417-022-00478-z.pdf
Reference34 articles.
1. Yesilyurt I, Ozturk H (2017) Tool condition monitoring in milling using vibration analysis. Int J Prod Res 45(4):1013–1028
2. Cho S, Binsaeid S, Asfour S (2009) Design of multisensor fusion-based tool condition monitoring system in end milling. Int J Adv Manuf Technol. https://doi.org/10.1007/s00170-009-2110-z
3. Kaya B, Oysu C, Ertunc H et al (2012) A support vector machine-based online tool condition monitoring for milling using sensor fusion and a genetic algorithm. Proc Inst Mech Eng Part B J Eng Manuf 226(11):1808–1818. https://doi.org/10.1177/0954405412458047
4. Zhang K, Nie HYP (2015) A method for tool condition monitoring based on sensor fusion. J Intell Manuf 26(5):1011–1026
5. Madhusudana CK, Kumar H, Narendranath S (2016) Condition monitoring of face milling tool using K-star algorithm and histogram features of vibration signal. Eng Sci Technol Int J. https://doi.org/10.1016/j.jestch.2016.05.009
Cited by 8 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. Spot-checking machine learning algorithms for tool wear monitoring in automatic drilling operations in CFRP/Ti6Al4V/Al stacks in the aircraft industry;Journal of Manufacturing Systems;2024-12
2. Exploring the Processing Paradigm of Input Data for End-to-End Deep Learning in Tool Condition Monitoring;Sensors;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. Diagnosing Faults in Suspension System Using Machine Learning and Feature Fusion Strategy;Arabian Journal for Science and Engineering;2024-03-30
5. Multiresolution analysis for tool failure detection in CFRP/Ti6Al4V hybrid stacks drilling in aircraft assembly lines;Mechanical Systems and Signal Processing;2024-01
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