MVMD-MOMEDA-TEO Model and Its Application in Feature Extraction for Rolling Bearings

In order to extract fault features of rolling bearings to characterize their operation state effectively, an improved method, based on modified variational mode decomposition (MVMD) and multipoint optimal minimum entropy deconvolution adjusted (MOMEDA), is proposed. Firstly, the MVMD method is intro...

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Detalles Bibliográficos
Autores principales: Li, Zhuorui, Ma, Jun, Wang, Xiaodong, Wu, Jiande
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514815/
https://www.ncbi.nlm.nih.gov/pubmed/33267045
http://dx.doi.org/10.3390/e21040331

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514815/
https://www.ncbi.nlm.nih.gov/pubmed/33267045
http://dx.doi.org/10.3390/e21040331

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