A Novel Signal Separation Method Based on Improved Sparse Non-Negative Matrix Factorization

In order to separate and extract compound fault features of a vibration signal from a single channel, a novel signal separation method is proposed based on improved sparse non-negative matrix factorization (SNMF). In view of the traditional SNMF failure to perform well in the underdetermined blind s...

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Detalles Bibliográficos
Autores principales: Wang, Huaqing, Wang, Mengyang, Li, Junlin, Song, Liuyang, Hao, Yansong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514934/
https://www.ncbi.nlm.nih.gov/pubmed/33267159
http://dx.doi.org/10.3390/e21050445

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514934/
https://www.ncbi.nlm.nih.gov/pubmed/33267159
http://dx.doi.org/10.3390/e21050445

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