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Research on tool wear state identification method driven by multi-source information fusion and multi-dimension attention mechanism.

, , , , , , , and . Robotics Comput. Integr. Manuf., (2024)

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Delayed observer-based H∞ control for networked control systems., , , and . Neurocomputing, (2016)Hard turning of GCr15 steel with chamfered PCBN tools., , and . IJMR, 8 (2): 196-206 (2013)Address Allocation in IPv6 Sensor Networks for Medical Monitoring Applications., , , , and . iThings/CPSCom, page 768-771. IEEE Computer Society, (2011)Classification of Tool Wear State based on Dual Attention Mechanism Network., , , , , , , and . Robotics Comput. Integr. Manuf., (October 2023)ACWGAN-GP for milling tool breakage monitoring with imbalanced data., , , , and . Robotics Comput. Integr. Manuf., (February 2024)Surface roughness prediction framework for flank milling Ti6Al4V alloy based on CLBAS-BP algorithm., , , , , , and . Int. J. Comput. Integr. Manuf., 36 (6): 830-841 (June 2023)Static and thermo-mechanical coupled analysis of turing tools based on ANSYS., , , and . EMEIT, page 3836-3839. IEEE, (2011)Tool wear state recognition based on feature selection method with whitening variational mode decomposition., , , , , and . Robotics Comput. Integr. Manuf., (2022)Functional extreme learning machine., , , and . Frontiers Comput. Neurosci., (September 2023)Predicting residual stress characteristics based on BP artificial neural network in precision hard turning., , , and . EMEIT, page 1615-1618. IEEE, (2011)