A Comprehensive Diagnosis Method of Rolling Bearing Fault Based on CEEMDAN-DFA-Improved Wavelet Threshold Function and QPSO-MPE-SVM

A comprehensive fault diagnosis method of rolling bearing about noise interference, fault feature extraction, and identification was proposed. Based on complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN), detrended fluctuation analysis (DFA), and improved wavelet thresholdin...

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Detalles Bibliográficos
Autores principales: Wang, Yi, Xu, Chuannuo, Wang, Yu, Cheng, Xuezhen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8468651/
https://www.ncbi.nlm.nih.gov/pubmed/34573767
http://dx.doi.org/10.3390/e23091142

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8468651/
https://www.ncbi.nlm.nih.gov/pubmed/34573767
http://dx.doi.org/10.3390/e23091142

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