Cargando…
Multiple time-frequency curve extraction Matlab code and its application to automatic bearing fault diagnosis under time-varying speed conditions
Vibration signal analysis is an important technique for bearing fault diagnosis. For bearings operating under constant rotational speed, faults can be diagnosed in the frequency domain since each type of fault has a specific Fault Characteristic Frequency (FCF), which is proportional to the shaft ro...
Autores principales: | Huang, Huan, Baddour, Natalie, Liang, Ming |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6582069/ https://www.ncbi.nlm.nih.gov/pubmed/31245281 http://dx.doi.org/10.1016/j.mex.2019.05.020 |
Ejemplares similares
-
Bearing vibration data collected under time-varying rotational speed conditions
por: Huang, Huan, et al.
Publicado: (2018) -
Incipient Fault Detection for Rolling Element Bearings under Varying Speed Conditions
por: Xue, Lang, et al.
Publicado: (2017) -
Robust observer-based fault diagnosis for nonlinear systems using Matlab
por: Zhang, Jian, et al.
Publicado: (2016) -
Analysis and identification of time-invariant systems, time-varying systems, and multi-delay systems using orthogonal hybrid functions: theory and algorithms with Matlab
por: Deb, Anish, et al.
Publicado: (2016) -
A Sound and Vibration Fusion Method for Fault Diagnosis of Rolling Bearings under Speed-Varying Conditions
por: Wan, Haibo, et al.
Publicado: (2023)