Research on the combined prediction model of milling sound pressure level based on force-thermal-vibration multi-feature fusion

Author:

Hu Yuting,Li Shuncai,Li Songyuan,Popov Eugene

Funder

Postgraduate Research & Practice Innovation Program of Jiangsu Province

the Science and Technology Plan Project of Xuzhou City

Undergraduate Innovation Training Program

Publisher

Springer Science and Business Media LLC

Subject

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

Reference25 articles.

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3. Sinay J, Balážiková M, Dulebová M, Markulik Š, Kotianová Z (2018) Measurement of low-frequency noise during CNC machining and its assessment[J]. Measurement 119:190–195

4. Ravikumar S, Ramachandran KI (2018) Tool wear monitoring of multipoint cutting tool using sound signal features signals with machine learning techniques[J]. Materials Today: Proceedings 5:25720–25729

5. Xie Z, Wang M, Wi F, Shao H (2008) Study on tool condition monitoring based on milling noise [J]. Tool Technol 07:20–22

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