研究论文
In-process stochastic tool wear identification and its application to the improved cutting force modeling of micro milling
Xuewei Zhang, Tianbiao Yu, Pengfei Xu, Ji Zhao
Northeastern University
来源Mechanical Systems and Signal Processing
年份2021
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2022
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87
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5.68
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学术脉络
学科主题
工程Advanced machining processes and optimization
Advanced Machining and Optimization Techniques · Gear and Bearing Dynamics Analysis
参考文献 33
Tool condition monitoring by SVM classification of machined surface images in turning
被引 65Nagaraj Bhat, Samik Dutta, Tarun Vashisth · The International Journal of Advanced Manufacturing Technology · 2015
Analysis of the structure of vibration signals for tool wear detection
被引 203Francisco Javier Alonso Sánchez, David Rodríguez Salgado · Mechanical Systems and Signal Processing · 2007
Tool wear evaluation in drilling by acoustic emission
被引 64Martín Gómez, Alfredo M. Hey, J. Ruzzante · Physics Procedia · 2010
此处列出前 3 条
引用本文 87
A Hybrid Attention-Based Paralleled Deep Learning model for tool wear prediction
被引 119Jian Duan, Xi Zhang, Tielin Shi · Expert Systems with Applications · 2022
Data-model linkage prediction of tool remaining useful life based on deep feature fusion and Wiener process
被引 86Xuebing Li, Xianli Liu, Caixu Yue · Journal of Manufacturing Systems · 2024
Indirect monitoring of machining characteristics via advanced sensor systems: a critical review
被引 85Mehmet Erdi Korkmaz, Munish Kumar Gupta, Zhixiong Li · The International Journal of Advanced Manufacturing Technology · 2022
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