Effects of Extrinsic Noise Factors on Machine Learning–Based Chatter Detection in Machining-Reference-Cited by-同舟云学术

Effects of Extrinsic Noise Factors on Machine Learning–Based Chatter Detection in Machining

Published:2021-08-13 Issue:1 Volume:5 Page:20210007
ISSN:2520-6478
Container-title:Smart and Sustainable Manufacturing Systems
language:en
Short-container-title:Smart Sustain. Manuf. Syst.

Author:

Lu Lance¹,Kurfess Thomas¹,Saldana Christopher²

Affiliation:

1. George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, 801 Ferst Dr., Atlanta, GA 30332, USA

2. George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, 801 Ferst Dr., Atlanta, GA 30332, USA (Corresponding author), e-mail: christopher.saldana@me.gatech.edu, https://orcid.org/0000-0003-1427-7732

Publisher

ASTM International

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,Control and Systems Engineering

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Assessing the Influence of Sensor-Induced Noise on Machine-Learning-Based Changeover Detection in CNC Machines;Sensors;2024-01-05

2. Investigation of optimal feature for milling chatter identification using supervised machine learning techniques;Journal of Engineering Research;2023-06

3. Chatter detection in milling processes—a review on signal processing and condition classification;The International Journal of Advanced Manufacturing Technology;2023-02-07

4. Review of AI-based methods for chatter detection in machining based on bibliometric analysis;The International Journal of Advanced Manufacturing Technology;2022-09