Jingjing Gao, Xinli Yu, Bo Liu, and Jing Liu
Wavelet packet decomposition (WPD), variational mode decomposition (VMD), feature extraction, multiscale permutation entropy
The relationship between dynamic characteristics and chatter recognition of machine tool spindle system was established based on dynamic characteristics and wavelet packet. After signal decomposition and acquisition of dynamic characteristics, signal recombination was carried out. The chatter was detected by wavelet packet decomposition and variational mode decomposition based on particle swarm optimisation algorithm, and the validity of parameter optimisation scheme was verified by experiments. The multi-scale permutation entropy feature is used to identify the machining state, which can distinguish the machining state at different time scales, so as to identify the chatter.
Important Links:
Go Back
