A Rolling Bearing Fault Diagnosis Method Combining MSSSA-VMD with the Parallel Network of GASF-CNN and BiLSTM

A Rolling Bearing Fault Diagnosis Method Combining MSSSA-VMD with the Parallel Network of GASF-CNN and BiLSTM

Once the rolling bearing fails, it will threaten the normal operation of the whole rotating machinery. Therefore, it is very necessary to conduct research on rolling bearing fault diagnosis. This paper proposes a rolling bearing fault diagnosis method combining MSSSA-VMD (variational mode decomposit...

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Bibliographic Details
Main Authors: Yongzhi Du, Yu Cao, Haochen Wang, Guohua Li
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Lubricants
Subjects:
rolling bearing
characteristic extraction
identification of fault types
the parallel network of GASF-CNN and BiLSTM
MSSSA-VMD axiom
Online Access:https://www.mdpi.com/2075-4442/12/12/452
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