Cargando…
Rolling Bearing Fault Diagnosis Based on Optimal Notch Filter and Enhanced Singular Value Decomposition
The impulsive fault feature signal of rolling bearings at the early failure stage is easily contaminated by the fundamental frequency (i.e., the rotation frequency of the shaft) signal and background noise. To address this problem, this paper puts forward a rolling bearing weak fault diagnosis metho...
Autores principales: | Pang, Bin, He, Yuling, Tang, Guiji, Zhou, Chong, Tian, Tian |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7513000/ https://www.ncbi.nlm.nih.gov/pubmed/33265572 http://dx.doi.org/10.3390/e20070482 |
Ejemplares similares
-
Rolling Bearing Fault Diagnosis Based on an Improved HTT Transform
por: Pang, Bin, et al.
Publicado: (2018) -
Compound Fault Diagnosis of Rolling Bearing Based on Singular Negentropy Difference Spectrum and Integrated Fast Spectral Correlation
por: Tang, Guiji, et al.
Publicado: (2020) -
Bearing Fault Diagnosis Method Based on Improved Singular Value Decomposition Package
por: Zhu, Huibin, et al.
Publicado: (2023) -
Multi-Fault Diagnosis of Rolling Bearings via Adaptive Projection Intrinsically Transformed Multivariate Empirical Mode Decomposition and High Order Singular Value Decomposition
por: Yuan, Rui, et al.
Publicado: (2018) -
Fault Diagnosis for Rolling Bearings Using Optimized Variational Mode Decomposition and Resonance Demodulation
por: Zhang, Chunguang, et al.
Publicado: (2020)