Trivariate Empirical Mode Decomposition via Convex Optimization for Rolling Bearing Condition Identification

As a multichannel signal processing method based on data-driven, multivariate empirical mode decomposition (MEMD) has attracted much attention due to its potential ability in self-adaption and multi-scale decomposition for multivariate data. Commonly, the uniform projection scheme on a hypersphere i...

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Detalles Bibliográficos
Autores principales: Lv, Yong, Zhang, Houzhuang, Yi, Cancan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6069037/
https://www.ncbi.nlm.nih.gov/pubmed/30021945
http://dx.doi.org/10.3390/s18072325

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6069037/
https://www.ncbi.nlm.nih.gov/pubmed/30021945
http://dx.doi.org/10.3390/s18072325

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