End-to-End Intelligent Fault Diagnosis of Transmission Bearings in Electric Vehicles Based on CNN

End-to-End Intelligent Fault Diagnosis of Transmission Bearings in Electric Vehicles Based on CNN

Environmental noise and transmission components can cause significant interference in vibration signals, rendering the extraction of bearing fault features challenging in service scenarios. Traditional fault diagnosis methods rely heavily on professional domain knowledge, prior models, and signal pr...

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Bibliographic Details
Main Authors: Yong Chen, Guangxin Li, Anhe Li, Bolin He
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Lubricants
Subjects:
end to end
raw vibration data
fault diagnosis
transmission bearings
Online Access:https://www.mdpi.com/2075-4442/12/11/364
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