Cutting-state identification of machine tools based on improved Dempster-Shafer evidence theory

Author:

Xu Bo,Sun Yingqiang

Funder

Transformation Program of Scientific and Technological Achievements of HeBei Provence.

Publisher

Springer Science and Business Media LLC

Subject

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

Reference18 articles.

1. Tong R, Liu Q (2015) Chatter recognition and suppression system of NC machining. Modul Mach Tool Autom Manuf Techn 2:117–121

2. Xie F, Cao Q, Huang Z (2015) Chatter monitoring based on wavelet packet and BP neural network. Instrum Techn Sensor 10:88–90

3. Li R, Liu Q (2015) Chatter identification in CNC milling based on wallet packet and Hilbert-Huang transform. Comput Integr Manuf Syst 21(1):204–216

4. Tangjitsitcharoen S, Moriwaki T (2008) Intelligent monitoring and identification of cutting states of chips and chatter on CNC turning machine. J Manuf Process 10(1):40–46

5. Gao HN, Shen DH, Yu L et al (2020) Identification of cutting chatter through deep learning and classification. Int J Simul Model 19(4):667–677

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