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Methodology and Experimental Verification for Predicting the Remaining Useful Life of Milling Cutters Based on Hybrid CNN-LSTM-Attention-PSA Journal article
Zhu, Mengge, Zhang, Ji, Bu, Lingfan, Nie, Sen, Bai, Yu, Zhao, Yueqi, Mei, Ning. Methodology and Experimental Verification for Predicting the Remaining Useful Life of Milling Cutters Based on Hybrid CNN-LSTM-Attention-PSA[J]. Machines, 2024, 12(11), 752.
Authors:  Zhu, Mengge;  Zhang, Ji;  Bu, Lingfan;  Nie, Sen;  Bai, Yu; et al.
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:2.1/2.2 | Submit date:2024/12/05
Remaining Useful Life  Cnn-lstm-attention-psa  Multi-channel Feature Extraction  Milling Cutter Wear