Optimal window size for the extraction of features for tool wear estimation-Reference-Cited by-同舟云学术

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Optimal window size for the extraction of features for tool wear estimation

Published:2021-08-05 Issue: Volume: Page:
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Container-title:2021 IEEE XXVIII International Conference on Electronics, Electrical Engineering and Computing (INTERCON)
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Author:

Casusol Alexis J.,Zegarra Fabio C.,Vargas-Machuca Juan,Coronado Alberto M.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9532484/9532602/09532759.pdf?arnumber=9532759

Cited by 5 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. Robust Tool Wear Prediction using Multi-Sensor Fusion and Time-Domain Features for the Milling Process using Instance-based Domain Adaptation;Knowledge-Based Systems;2024-03

2. Appending-inspired multivariate time series association fusion for tool condition monitoring;Journal of Intelligent Manufacturing;2023-09-12

3. On the Stability and Homogeneous Ensemble of Feature Selection for Predictive Maintenance: A Classification Application for Tool Condition Monitoring in Milling;Sensors;2023-05-03

4. Online chatter monitor system based on rapid detection method and wireless communication;The International Journal of Advanced Manufacturing Technology;2022-08-20

5. Tool wear and remaining useful life (RUL) prediction based on reduced feature set and Bayesian hyperparameter optimization;Production Engineering;2021-10-27

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