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A denoising approach based on CEEMDAN-nlDAE for 3D reconstruction of on-machine measurement data in real shop-floor environments | Synapse
March 3, 2026
A denoising approach based on CEEMDAN-nlDAE for 3D reconstruction of on-machine measurement data in real shop-floor environments
JL
Jin Li
ZJ
Zaixiang Jiang
WZ
Weiwei Zhou
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Key Points
Effective denoising significantly enhances the clarity of 3D reconstruction from on-machine measurement data.
Results indicate that the CEEMDAN-nlDAE method improves reconstruction quality, achieving a notable reduction in noise.
Analysis across various shop-floor environments shows robustness against real-world data variability.
Highlights the potential of the methodology in practical applications for manufacturing and measurement systems.
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Li et al. (Tue,) studied this question.
synapsesocial.com/papers/69a761efc6e9836116a3006e
https://doi.org/https://doi.org/10.1016/j.measurement.2026.120883