Tool Condition Monitoring for High Performance Milling Based on Feature Adaptive Fusion and Ensemble Learning

WANG Runqiong, SONG Qinghua, PENG Yezhen, LIU Zhanqiang

Journal of Mechanical Engineering ›› 2024, Vol. 60 ›› Issue (1) : 149-158.

PDF(489 KB)
PDF(489 KB)
Journal of Mechanical Engineering ›› 2024, Vol. 60 ›› Issue (1) : 149-158. DOI: 10.3901/JME.2024.01.149

Tool Condition Monitoring for High Performance Milling Based on Feature Adaptive Fusion and Ensemble Learning

    {{javascript:window.custom_author_en_index=0;}}
  • {{article.zuoZhe_EN}}
Author information +
History +

HeighLight

{{article.keyPoints_en}}

Abstract

{{article.zhaiyao_en}}

Key words

QR code of this article

Cite this article

EndNote

Ris (Procite)

Bibtex

Download Citations
{{article.zuoZheEn_L}}. {{article.title_en}}[J]. {{journal.qiKanMingCheng_EN}}, 2024, 60(1): 149-158 https://doi.org/10.3901/JME.2024.01.149

References

Publishing order | Descend order by publishing year | Descend order by cited within

References

{{article.reference}}

Funding

RIGHTS & PERMISSIONS

{{article.copyrightStatement_en}}
{{article.copyrightLicense_en}}
PDF(489 KB)

Accesses

Citation

Detail
Sections
Recommended
　 Copyright © Journal of Mechanical Engineering, All Rights Reserved.
Powered by Beijing Magtech Co. Ltd,.

/

〈 〉