Symplectic Sparsest Mode Decomposition and its Application in Rolling Bearing Fault Diagnosis

A heated and challenging area of fault diagnostic research has been separating the rolling bearing problem feature information from severe noise disruption. The Symplectic Geometry Mode Decomposition (SGMD) has been effectively applied to rolling bearings with the advantage that it does not involve...

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Veröffentlicht in:IEEE sensors journal 2024-04, Vol.24 (8), p.1-1
Hauptverfasser: Liu, Yanfei, Cheng, Junsheng, Yang, Yu, Zheng, Jinde, Pan, Haiyang, Yang, Xingkai, Bin, Guangfu, Sheng, Yiping
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Sprache:eng
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