Deep Learning Approach for Vibration Signals Applications

Deep Learning Approach for Vibration Signals Applications

This study discusses convolutional neural networks (CNNs) for vibration signals analysis, including applications in machining surface roughness estimation, bearing faults diagnosis, and tool wear detection. The one-dimensional CNNs (1DCNN) and two-dimensional CNNs (2DCNN) are applied for regression...

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Bibliographic Details
Main Authors: Han-Yun Chen, Ching-Hung Lee
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Sensors
Subjects:
vibration signal
deep learning
convolutional neural network
hyper parameter
optimization
short time Fourier transform
Online Access:https://www.mdpi.com/1424-8220/21/11/3929

Internet

https://www.mdpi.com/1424-8220/21/11/3929

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