Cargando…
A Sound and Vibration Fusion Method for Fault Diagnosis of Rolling Bearings under Speed-Varying Conditions
The fault diagnosis of rolling bearings is critical for the reliability assurance of mechanical systems. The operating speeds of the rolling bearings in industrial applications are usually time-varying, and the monitoring data available are difficult to cover all the speeds. Though deep learning tec...
Autores principales: | Wan, Haibo, Gu, Xiwen, Yang, Shixi, Fu, Yanni |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10057316/ https://www.ncbi.nlm.nih.gov/pubmed/36991841 http://dx.doi.org/10.3390/s23063130 |
Ejemplares similares
-
Incipient Fault Detection for Rolling Element Bearings under Varying Speed Conditions
por: Xue, Lang, et al.
Publicado: (2017) -
University of Ottawa constant load and speed rolling-element bearing vibration and acoustic fault signature datasets
por: Sehri, Mert, et al.
Publicado: (2023) -
Tacholess Envelope Order Analysis and Its Application to Fault Detection of Rolling Element Bearings with Varying Speeds
por: Zhao, Ming, et al.
Publicado: (2013) -
Bearing vibration data collected under time-varying rotational speed conditions
por: Huang, Huan, et al.
Publicado: (2018) -
Fault Diagnosis of Rolling Bearings in Primary Mine Fans under Sample Imbalance Conditions
por: Cui, Wei, et al.
Publicado: (2023)