Rolling Bearing Incipient Fault Diagnosis Method Based on Improved Transfer Learning with Hybrid Feature Extraction

Rolling Bearing Incipient Fault Diagnosis Method Based on Improved Transfer Learning with Hybrid Feature Extraction

Data-driven based rolling bearing fault diagnosis has been widely investigated in recent years. However, in real-world industry scenarios, the collected labeled samples are normally in a different data distribution. Moreover, the features of bearing fault in the early stages are extremely inconspicu...

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Bibliographic Details
Main Authors: Zhengni Yang, Rui Yang, Mengjie Huang
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Sensors
Subjects:
bearing fault diagnosis
incipient fault
transfer learning
domain adaptation
Online Access:https://www.mdpi.com/1424-8220/21/23/7894

Internet

https://www.mdpi.com/1424-8220/21/23/7894

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