Early Fault Detection Method for Rotating Machinery Based on Harmonic-Assisted Multivariate Empirical Mode Decomposition and Transfer Entropy

It is a difficult task to analyze the coupling characteristics of rotating machinery fault signals under the influence of complex and nonlinear interference signals. This difficulty is due to the strong noise background of rotating machinery fault feature extraction and weaknesses, such as modal mix...

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Detalles Bibliográficos
Autores principales: Wu, Zhe, Zhang, Qiang, Wang, Lixin, Cheng, Lifeng, Zhou, Jingbo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7512455/
https://www.ncbi.nlm.nih.gov/pubmed/33266597
http://dx.doi.org/10.3390/e20110873

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7512455/
https://www.ncbi.nlm.nih.gov/pubmed/33266597
http://dx.doi.org/10.3390/e20110873

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