Gated Recurrent Units Based Neural Network For Tool Condition Monitoring
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/8465565/8488986/08489354.pdf?arnumber=8489354
Cited by 18 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. Tool Wear Classification in Chipboard Milling Processes Using 1-D CNN and LSTM Based on Sequential Features;Applied Sciences;2024-05-30
2. An Augmented AutoEncoder With Multi-Head Attention for Tool Wear Prediction in Smart Manufacturing;IEEE Access;2024
3. Tool condition monitoring of diamond-coated burrs with acoustic emission utilising machine learning methods;The International Journal of Advanced Manufacturing Technology;2023-12-07
4. Appending-inspired multivariate time series association fusion for tool condition monitoring;Journal of Intelligent Manufacturing;2023-09-12
5. Induction of knowledge, attitude and practice of people toward a pandemic from Twitter: a comprehensive model based on opinion mining;Kybernetes;2023-06-21
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