Compound Fault Feature Extraction of Rolling Bearing Acoustic Signals Based on AVMD-IMVO-MCKD

The compound fault acoustic signal of a rolling bearing has the characteristics of a varying noise mixture, a low signal-to-noise ratio (SNR), and nonlinearity, which makes it difficult to separate and extract exactly the fault features of compound fault signals. A fault feature extraction approach...

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Detalles Bibliográficos
Autores principales: Wu, Shishuai, Zhou, Jun, Liu, Tao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9502951/
https://www.ncbi.nlm.nih.gov/pubmed/36146118
http://dx.doi.org/10.3390/s22186769

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9502951/
https://www.ncbi.nlm.nih.gov/pubmed/36146118
http://dx.doi.org/10.3390/s22186769

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