WPD-Enhanced Deep Graph Contrastive Learning Data Fusion for Fault Diagnosis of Rolling Bearing

WPD-Enhanced Deep Graph Contrastive Learning Data Fusion for Fault Diagnosis of Rolling Bearing

Rolling bearings are crucial mechanical components in the mechanical industry. Timely intervention and diagnosis of system faults are essential for reducing economic losses and ensuring product productivity. To further enhance the exploration of unlabeled time-series data and conduct a more comprehe...

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Bibliographic Details
Main Authors: Ruozhu Liu, Xingbing Wang, Anil Kumar, Bintao Sun, Yuqing Zhou
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Micromachines
Subjects:
rolling bearing
fault diagnosis
wavelet packet decomposition
graph convolutional neural network
deep graph contrastive learning
Online Access:https://www.mdpi.com/2072-666X/14/7/1467

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https://www.mdpi.com/2072-666X/14/7/1467

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