Cargando…
Research on rolling bearing fault diagnosis based on multi-dimensional feature extraction and evidence fusion theory
Rolling bearing failure is the main cause of failure of rotating machinery, and leads to huge economic losses. The demand of the technique on rolling bearing fault diagnosis in industrial applications is increasing. With the development of artificial intelligence, the procedure of rolling bearing fa...
Autores principales: | Li, Jingchao, Ying, Yulong, Ren, Yuan, Xu, Siyu, Bi, Dongyuan, Chen, Xiaoyun, Xu, Yufang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6408408/ https://www.ncbi.nlm.nih.gov/pubmed/30891276 http://dx.doi.org/10.1098/rsos.181488 |
Ejemplares similares
-
Improving rolling bearing online fault diagnostic performance based on multi-dimensional characteristics
por: Yang, Chuanlei, et al.
Publicado: (2018) -
A Rolling Element Bearing Fault Diagnosis Approach Based on Multifractal Theory and Gray Relation Theory
por: Li, Jingchao, et al.
Publicado: (2016) -
End-to-End Continuous/Discontinuous Feature Fusion Method with Attention for Rolling Bearing Fault Diagnosis
por: Zheng, Jianbo, et al.
Publicado: (2022) -
Rolling bearing analysis
por: Harris, Tedric A
Publicado: (2001) -
Intelligent Diagnosis of Rolling Bearings Fault Based on Multisignal Fusion and MTF-ResNet
por: He, Kecheng, et al.
Publicado: (2023)