Rolling Element Bearing Fault Diagnosis by Combining Adaptive Local Iterative Filtering, Modified Fuzzy Entropy and Support Vector Machine

A new fault feature extraction method for rolling element bearing is put forward in this paper based on the adaptive local iterative filtering (ALIF) algorithm and the modified fuzzy entropy. Due to the bearing vibration signals’ non-stationary and nonlinear characteristics, the ALIF method, which i...

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Detalles Bibliográficos
Autores principales: Zhu, Keheng, Chen, Liang, Hu, Xiong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7512513/
https://www.ncbi.nlm.nih.gov/pubmed/33266650
http://dx.doi.org/10.3390/e20120926

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7512513/
https://www.ncbi.nlm.nih.gov/pubmed/33266650
http://dx.doi.org/10.3390/e20120926

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