Feature Extraction Method for Milling Cutter Wear Based on Optimized VMD-Reference-Cited by-同舟云学术

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Feature Extraction Method for Milling Cutter Wear Based on Optimized VMD

Published:2022-07-25 Issue: Volume: Page:
ISSN:
Container-title:2022 41st Chinese Control Conference (CCC)
language:
Short-container-title:

Author:

Gao Feng¹,Chang Hao¹,Li Yan¹,Chang Lihong²

Affiliation:

1. Key Lab. of NC Machine Tools and Integrated Manufacturing Equipment of the Ministry of Education & Key Lab. of Manufacturing Equipment of Shaanxi Province, Xi'an University of Technology,Xi'an,China,710048

2. College of Humanities and Urban-Rural Development, Beijing University of Agriculture,Department of Rural Regional Development,Beijing,China,102206

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9901509/9901494/09902835.pdf?arnumber=9902835

Reference20 articles.

1. Monitoring tool wear using wavelet package decomposition and a novel gravitational search algorithm–least square support vector machine model

2. Variational Mode Decomposition

3. Chatter detection in milling process based on VMD and energy entropy

4. Fault diagnosis of rolling bearing based on TVD-VMD

5. Online chatter detection in milling process based on VMD and multiscale entropy

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