A Rolling Bearing Fault Diagnosis Method Based on EEMD-WSST Signal Reconstruction and Multi-Scale Entropy

Feature extraction is one of the challenging problems in fault diagnosis, and it has a direct bearing on the accuracy of fault diagnosis. Therefore, in this paper, a new method based on ensemble empirical mode decomposition (EEMD), wavelet semi-soft threshold (WSST) signal reconstruction, and multi-...

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Detalles Bibliográficos
Autores principales: Ge, Jianghua, Niu, Tianyu, Xu, Di, Yin, Guibin, Wang, Yaping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7516750/
https://www.ncbi.nlm.nih.gov/pubmed/33286065
http://dx.doi.org/10.3390/e22030290

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7516750/
https://www.ncbi.nlm.nih.gov/pubmed/33286065
http://dx.doi.org/10.3390/e22030290

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