Comparative Study of Popular Deep Learning Models for Machining Roughness Classification Using Sound and Force Signals

Comparative Study of Popular Deep Learning Models for Machining Roughness Classification Using Sound and Force Signals

This study compared popular Deep Learning (DL) architectures to classify machining surface roughness using sound and force data. The DL architectures considered in this study include Multi-Layer Perceptron (MLP), Convolution Neural Network (CNN), Long Short-Term Memory (LSTM), and transformer. The c...

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Bibliographic Details
Main Author: Binayak Bhandari
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Micromachines
Subjects:
sound feature extraction
precision machining
Deep Learning
CNN
LSTM
MLP
Online Access:https://www.mdpi.com/2072-666X/12/12/1484

Internet

https://www.mdpi.com/2072-666X/12/12/1484

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