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Tool wear monitoring based on physics-informed Gaussian process regression
Abstract Tool Wear Monitoring (TWM) plays a vital role in safeguarding product quality and
enhancing machining efficiency. TWM technology mainly includes physics-based models …
enhancing machining efficiency. TWM technology mainly includes physics-based models …
BDTM-Net: A tool wear monitoring framework based on semantic segmentation module
J Zhou, C Yue, J Qu, W **a, X Liu, SY Liang… - Journal of Manufacturing …, 2024 - Elsevier
The integration of advanced manufacturing and the new generation of information
technology promotes the development of intelligent manufacturing. In the cutting process …
technology promotes the development of intelligent manufacturing. In the cutting process …
EV Charging Prediction in Residential Area Based on SE‐GRU‐MA Model Consider Multi‐Source Data Feature Mining
W Zhang, C Chen, H Zhou, Y Ni, Z Qi… - IEEJ Transactions on …, 2024 - Wiley Online Library
The number of electric vehicle (EV) in residential areas is growing rapidly, resulting in large‐
scale charging of EVs connected to the distribution network. This poses a challenge to the …
scale charging of EVs connected to the distribution network. This poses a challenge to the …
Multi-threading method for rapid tool wear detection based on integrating image classification and object detection
Z You, Y Du, X Wang, Z Li, H Liu… - Conference on Spectral …, 2024 - spiedigitallibrary.org
This research aims to develop a multi-threading method for rapid tool wear detection by
integrating image classification and object detection techniques to address the challenge of …
integrating image classification and object detection techniques to address the challenge of …