Roller Bearing Fault Diagnosis Based on Partial Reconstruction Symplectic Geometry Mode Decomposition and LightGBM

Roller Bearing Fault Diagnosis Based on Partial Reconstruction Symplectic Geometry Mode Decomposition and LightGBM

It is always a hot and challenging problem to extract the characteristic information of roller bearings from strong noise interference. Conventional Hilbert-Huang Transform (HHT), Local Mean Decomposition (LMD), Local Feature-Scale Decomposition (LCD), and so on have some issues like overenvelope, u...

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Bibliographic Details
Main Authors: Yanfei Liu, Junsheng Cheng, Yu Yang, Guangfu Bin, Yiping Shen, Yanfeng Peng
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Fault diagnosis
part reconstruction of symplectic geometric pattern decomposition
regularized composite multiscale fuzzy entropy
rolling bearings
symplectic geometric mode components
Online Access:https://ieeexplore.ieee.org/document/10318087/

Internet

https://ieeexplore.ieee.org/document/10318087/

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