Simultaneously Low Rank and Group Sparse Decomposition for Rolling Bearing Fault Diagnosis

Singular value decomposition (SVD) methods have aroused wide concern to extract the periodic impulses for bearing fault diagnosis. The state-of-the-art SVD methods mainly focus on the low rank property of the Hankel matrix for the fault feature, which cannot achieve satisfied performance when the ba...

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Detalles Bibliográficos
Autores principales: Zheng, Kai, Bai, Yin, Xiong, Jingfeng, Tan, Feng, Yang, Dewei, Zhang, Yi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7583828/
https://www.ncbi.nlm.nih.gov/pubmed/32992657
http://dx.doi.org/10.3390/s20195541

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7583828/
https://www.ncbi.nlm.nih.gov/pubmed/32992657
http://dx.doi.org/10.3390/s20195541

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