Design and Analysis of RUL Prediction Algorithm Based on CABLSTM for CNC Machine Tools
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Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9311547/9311548/09311582.pdf?arnumber=9311582
Cited by 4 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 Prediction Based on a Multi-Scale Convolutional Neural Network with Attention Fusion;Information;2022-10-18
2. A Novel Remaining Useful Life Prediction Method Based on CEEMDAN-IFTC-PSR and Ensemble CNN/BiLSTM Model for Cutting Tool;IEEE Access;2022
3. An accurate detection of tool wear type in drilling process by applying PCA and one-hot encoding to SSA-BLSTM model;The International Journal of Advanced Manufacturing Technology;2021-10-20
4. POP-ON: Prediction of Process Using One-Way Language Model Based on NLP Approach;Applied Sciences;2021-01-18
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