Fault Diagnosis for Rolling Bearing of Combine Harvester Based on Composite-Scale-Variable Dispersion Entropy and Self-Optimization Variational Mode Decomposition Algorithm

Because of the influence of harsh and variable working environments, the vibration signals of rolling bearings for combine harvesters usually show obvious characteristics of strong non-stationarity and nonlinearity. Accomplishing accurate fault diagnosis using these signals for rolling bearings is a...

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Detalles Bibliográficos
Autores principales: Jiang, Wei, Shan, Yahui, Xue, Xiaoming, Ma, Jianpeng, Chen, Zhong, Zhang, Nan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10453690/
https://www.ncbi.nlm.nih.gov/pubmed/37628141
http://dx.doi.org/10.3390/e25081111

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10453690/
https://www.ncbi.nlm.nih.gov/pubmed/37628141
http://dx.doi.org/10.3390/e25081111

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