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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

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