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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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| Publicado en: | Sensors (Basel) |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
MDPI
2018
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6069037/ https://ncbi.nlm.nih.gov/pubmed/30021945 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s18072325 |
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