A fault feature extraction algorithm based on CEEMD-TVD-MOMEDA

A fault feature extraction algorithm based on CEEMD-TVD-MOMEDA

Rolling bearings are indispensable key components in mechanical equipment, and they are also one of the most easily damaged components. To solve the problem of bearing fault feature extraction under strong noise interference, a combination of complementary ensemble average empirical mode decomposit...

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Detalles Bibliográficos
Autores principales: Jingzong Yang, Tianqing Yang, Chunchao Shi
Formato: article
Lenguaje:EN
Publicado: Tamkang University Press 2021
Materias:
complementary ensemble average empirical mode decomposition (ceemd)
total variation denoising (tvd)
multipoint optimal minimum entropy deconvolution adjusted
fault feature extraction
Engineering (General). Civil engineering (General)
TA1-2040
Chemical engineering
TP155-156
Physics
QC1-999
Acceso en línea:https://doaj.org/article/fa15a986bad5459a8d6206ee871d9d29
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https://doaj.org/article/fa15a986bad5459a8d6206ee871d9d29

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