Abstract
A new method for detection of chatter onset is developed based on characterization of changes in process dynamics. Its performance is demonstrated by the experiments with turning in which the transition to chatter is caused by variation of cutting depth. The signal of cutting force is characterized by the normalized coarse-grained entropy rate whose value exhibits a drastic drop at the onset of chatter. For the purpose of automatic on-line chatter detection a characteristic value of coarse-grained entropy rate is determined which is rather insensitive to variation of cutting conditions.
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