Improving generalisation and accuracy of on-line milling chatter detection via a novel hybrid deep convolutional neural network
(2023)
Journal Article
Zhang, P., Gao, D., Hong, D., Lu, Y., Wu, Q., Zan, S., & Liao, Z. (2023). Improving generalisation and accuracy of on-line milling chatter detection via a novel hybrid deep convolutional neural network. Mechanical Systems and Signal Processing, 193, 110241. https://doi.org/10.1016/j.ymssp.2023.110241
Unstable chatter seriously reduces the quality of machined workpiece and machining efficiency. In order to improve productivity, on-line chatter detection has attracted much interest in the past decades. Nevertheless, traditional methods are inevitab... Read More about Improving generalisation and accuracy of on-line milling chatter detection via a novel hybrid deep convolutional neural network.