Research on Rolling Bearing Fault Diagnosis Based on Digital Twin Data and Improved ConvNext

Research on Rolling Bearing Fault Diagnosis Based on Digital Twin Data and Improved ConvNext

This article introduces a novel framework for diagnosing faults in rolling bearings. The framework combines digital twin data, transfer learning theory, and an enhanced ConvNext deep learning network model. Its purpose is to address the challenges posed by the limited actual fault data density and i...

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Bibliographic Details
Main Authors: Chao Zhang, Feifan Qin, Wentao Zhao, Jianjun Li, Tongtong Liu
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Sensors
Subjects:
rolling bearing
digital twin
transfer learning
ConvNext
fault detection
Online Access:https://www.mdpi.com/1424-8220/23/11/5334

Internet

https://www.mdpi.com/1424-8220/23/11/5334

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