Blind Fault Extraction of Rolling-Bearing Compound Fault Based on Improved Morphological Filtering and Sparse Component Analysis

In order to effectively separate and extract bearing composite faults, in view of the non-linearity, strong interference and unknown number of fault source signals of the measured fault signals, a composite fault-diagnosis blind extraction method based on improved morphological filtering of [Formula...

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Detalles Bibliográficos
Autores principales: Xie, Wensong, 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/PMC9504767/
https://www.ncbi.nlm.nih.gov/pubmed/36146440
http://dx.doi.org/10.3390/s22187093

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9504767/
https://www.ncbi.nlm.nih.gov/pubmed/36146440
http://dx.doi.org/10.3390/s22187093

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