Cargando…
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...
Autores principales: | Zheng, Kai, Bai, Yin, Xiong, Jingfeng, Tan, Feng, Yang, Dewei, Zhang, Yi |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
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 |
Ejemplares similares
-
Fault Diagnosis of Rolling Bearings Based on WPE by Wavelet Decomposition and ELM
por: Xi, Caiping, et al.
Publicado: (2022) -
Improved Dynamic Mode Decomposition and Its Application to Fault Diagnosis of Rolling Bearing
por: Dang, Zhang, et al.
Publicado: (2018) -
Negentropy Spectrum Decomposition and Its Application in Compound Fault Diagnosis of Rolling Bearing
por: Xu, Yonggang, et al.
Publicado: (2019) -
Fault Diagnosis for Rolling Bearings Using Optimized Variational Mode Decomposition and Resonance Demodulation
por: Zhang, Chunguang, et al.
Publicado: (2020) -
Rolling Bearing Fault Diagnosis Based on Successive Variational Mode Decomposition and the EP Index
por: Guo, Yuanjing, et al.
Publicado: (2022)