Detecting machine chatter using audio data and machine learning

被引：0
|
作者：
Ilarion Kvinevskiy
Sanjeev Bedi
Stephen Mann
机构：
[1] University of Waterloo,Department of Mechanical and Mechatronics Engineering
[2] University of Waterloo,Cheriton School of Computer Science
来源：
The International Journal of Advanced Manufacturing Technology | 2020年 / 108卷
关键词：
CNC machining; Chatter; Machine learning;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
We present a method for detecting chatter in CNC machining. Our method uses machining learning to train a classifier to determine the chatter threshold, and we use an autoencoder to reduce the dimensionality of the data. We test our method on machining audio data, and successfully detect chatter in the validation data. Our method is amenable to use on the shop floor, as a machinist using our method needs only to classify audio as chatter and non-chatter.
引用
收藏
页码：3707 / 3716
页数：9
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