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A Feature Extraction Algorithm for Rolling Bearing Faults and Its Application

Focusing on the difficulty of completely extracting the surface damage caused by rolling bearing lubrication failure, an algorithm for extracting bearing lubrication fault is proposed, which is based on periodic optimum singular value decomposition (O-SVD) cascaded fast spectral correlation (FSC). I...

Täydet tiedot

Tallennettuna:
Päätekijät: Zhen Zhang, Baoguo Liu, Wenliao Du, Wei Feng
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: IEEE 2022-01-01
Sarja:IEEE Access
Aiheet:
Rolling bearing
singular value decomposition
fast spectral correlation
slight fault
feature extraction
underlubrication fault
Linkit:https://ieeexplore.ieee.org/document/9844733/
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