Fault Diagnosis of Imbalance and Misalignment in Rotor-Bearing Systems Using Deep Learning

Fault Diagnosis of Imbalance and Misalignment in Rotor-Bearing Systems Using Deep Learning

Rotor-bearing systems are important components of rotating machinery and transmission systems, and imbalance and misalignment are inevitable in such systems. At present, the main challenges faced by state-of-the-art fault diagnosis methods involve the extraction of fault features under strong backgr...

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Bibliographic Details
Main Authors: Liu Fayou, Li Weijia, Wu Yaozhong, He Yuhang, Li Tianyun
Format: Article
Language:English
Published: Sciendo 2024-03-01
Series:Polish Maritime Research
Subjects:
rotor-bearing system
vibration signal
feature extraction
deep learning
deep residual shrinkage network
test platform
Online Access:https://doi.org/10.2478/pomr-2024-0011

Internet

https://doi.org/10.2478/pomr-2024-0011

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