Assessing sine and Gaussian fitting for surface feature extraction in real-time wear monitoring of turning operations-Reference-Cited by-同舟云学术

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Assessing sine and Gaussian fitting for surface feature extraction in real-time wear monitoring of turning operations

Published:2025-10 Issue: Volume:61 Page:51-69
ISSN:1755-5817
Container-title:CIRP Journal of Manufacturing Science and Technology
language:en
Short-container-title:CIRP Journal of Manufacturing Science and Technology

Author:

Küllaç Muzaffer Tacettin^ORCID,Çuvalcı Olkan^ORCID

Publisher

Elsevier BV

Reference36 articles.

1. Indirect monitoring of machining characteristics via advanced sensor systems: a critical review;Korkmaz;Int J Adv Manuf Technol,2022

2. Investigation of signal behaviors for sensor fusion with tool condition monitoring system in turning;Kuntoglu;Measurement,2021

3. Assessment of features from multiple sensors in monitoring titanium milling;Navarro-Devia;Int J Mach Mach Mater (IJMMM),2022

4. Swin-fusion: An adaptive multi-source information fusion framework for enhanced tool wear monitoring;Hou;J Manuf Syst,2025

5. Robust tool wear prediction using multi-sensor fusion and time-domain features for the milling process using instance-based domain adaptation;Warke;Knowl-Based Syst,2024

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