Tool Wear State Identification Based on the IWOA-VMD Feature Selection Method

Tool Wear State Identification Based on the IWOA-VMD Feature Selection Method

Complex, thin-walled components are the most important load-bearing structures in aircraft equipment. Monitoring the wear status of milling cutters is critical for enhancing the precision and efficiency of thin-walled item machining. The cutting force signals of milling cutters are non-stationary an...

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Bibliographic Details
Main Authors: Xing Shui, Zhijun Rong, Binbin Dan, Qiangjian He, Xin Yang
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Machines
Subjects:
tool state recognition
variational mode decomposition
feature extraction
improved whale optimization algorithm
one-dimensional convolutional neural network
Online Access:https://www.mdpi.com/2075-1702/12/3/184

Internet

https://www.mdpi.com/2075-1702/12/3/184

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