论文信息 - Adaptive pattern recognition of drilling chatter

Adaptive pattern recognition of drilling chatter

Abstract In the paper, an in—process pattern recognition system is presented to detect drilling chatter based on an unsupervised ART2 neural network. In the developed system, the thrust force signal in the time domain is utilized to rapidly recognize a drilling process with or without chatter. Experiments show that this new approach can accurately monitor chatter in drilling operations, even under varying cutting conditions.

Y. S. Tarng | T. C. Li | Y. Tarng | T. C. Li

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