A New Semi-supervised Tool-wear Monitoring Method using Unreliable Pseudo-Labels

Author:

Sun Yi,He Jigang,Gao HongliORCID,Song Hongliang,Guo Liang

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference31 articles.

1. Tool wear prediction in high-speed turning of a steel alloy using long short-term memory modelling;Marani;Measurement,2021

2. Traceability of on-machine tool measurement: Uncertainty budget assessment on shop floor conditions;Mutilba;Measure.,2019

3. Transfer learning: A new aerodynamic force identification network based on adaptive emd and soft thresholding in hypersonic wind tunnel;Yi;Chin J Aeronaut.,2023

4. Tool wear and remaining useful life prediction in micro-milling along complex tool paths using neural networks;Bagri;J Manuf Process.,2021

5. Tool wear condition monitoring across machining processes based on feature transfer by deep adversarial domain confusion network;Huang;J Intell Manuf.,2023

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