A Rolling Bearing Fault Feature Extraction Algorithm Based on IPOA-VMD and MOMEDA

Since the rolling bearing fault signal captured by a vibration sensor contains a large amount of background noise, fault features cannot be accurately extracted. To address this problem, a rolling bearing fault feature extraction algorithm based on improved pelican optimization algorithm (IPOA)–vari...

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Detalles Bibliográficos
Autores principales: Yi, Kang, Cai, Changxin, Tang, Wentao, Dai, Xin, Wang, Fulin, Wen, Fangqing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10611149/
https://www.ncbi.nlm.nih.gov/pubmed/37896713
http://dx.doi.org/10.3390/s23208620

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10611149/
https://www.ncbi.nlm.nih.gov/pubmed/37896713
http://dx.doi.org/10.3390/s23208620

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