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복합 신경회로망을 이용한 채터진동의 인프로세스 감시(II)
김정석,강명창,박철,Kim, Jeong-Suk,Kang, Myeong-Chang,Park, Cheol 한국정밀공학회 1995 한국정밀공학회지 Vol.12 No.12
The In-process minitoring of the chatter vibration is necessarily required to an automatic manufacturing system. In this study, we constructed a multi-sensing system using tool dynamoneter, accelerometer and AE(Acoustic Emission) sensor for a more credible detection of chatter vibration. And a new approach using a multiple neural network to extract the features of multi-sensor for the recognition chatter vibration is proposed. With the Back-propagation training process, the neural network memorize and classify the features of multi-sensor signals. As a result, it is shown by multiple neural network that the chatter vibration can be monitored accurately, and it can be widely used in practical unmanned system.