Evaluation of Deep Learning Neural Networks for Surface Roughness Prediction Using Vibration Signal Analysis

Evaluation of Deep Learning Neural Networks for Surface Roughness Prediction Using Vibration Signal Analysis

The use of surface roughness (Ra) to indicate product quality in the milling process in an intelligent monitoring system applied in-process has been developing. From the considerations of convenient installation and cost-effectiveness, accelerator vibration signals combined with deep learning predic...

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Bibliographic Details
Main Authors:	Wan-Ju Lin, Shih-Hsuan Lo, Hong-Tsu Young, Che-Lun Hung
Format:	Article
Language:	English
Published:	MDPI AG 2019-04-01
Series:	Applied Sciences
Subjects:	surface roughness vibration signals convolution neural network CNN Fast Fourier Transform FFT long short term memory network LSTM deep neural networks DNN deep learning
Online Access:	https://www.mdpi.com/2076-3417/9/7/1462

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