Sliding window-based real-time remaining useful life prediction for milling tool
Author:
Affiliation:
1. College of Electrical and Information Engineering, Hunan University,Changsha,China
Funder
National Natural Science Foundation of China
Natural Science Foundation of Hunan Province
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10127967/10127864/10128005.pdf?arnumber=10128005
Reference10 articles.
1. Position Encoding Based Convolutional Neural Networks for Machine Remaining Useful Life Prediction
2. Machinery health prognostics: A systematic review from data acquisition to RUL prediction
3. LSTM: A Search Space Odyssey
4. In-process tool wear monitoring model based on LSTM-CNN;he;China Mechanical Engineering,2020
5. In-process tool condition monitoring based on convolution neural network;cao;Computer Integrated Manufacturing Systems,2020
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1. Survey on Foundation Models for Prognostics and Health Management in Industrial Cyber-Physical Systems;IEEE Transactions on Industrial Cyber-Physical Systems;2024
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