Graph Convolutional Network Based on CQT Spectrogram for Bearing Fault Diagnosis

Graph Convolutional Network Based on CQT Spectrogram for Bearing Fault Diagnosis

In this paper, a graph convolutional network is constructed and applied for bearing fault diagnosis. Specifically, the constant-Q transform (CQT) is first adopted for spectral analysis of vibration signals, where the frequencies are distributed in the logarithmic scale. Varied frequency resolutions...

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Bibliographic Details
Main Authors: Jin Yan, Jianbin Liao, Weiwei Zhang, Jinliang Dai, Chaoming Huang, Hanlin Li, Hongliang Yu
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Machines
Subjects:
graph modeling
graph convolutional network
bearing fault diagnosis
constant-Q transform
Online Access:https://www.mdpi.com/2075-1702/12/3/179

Internet

https://www.mdpi.com/2075-1702/12/3/179

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