Application of Adaptive MOMEDA with Iterative Autocorrelation to Enhance Weak Features of Hoist Bearings

Low-speed hoist bearings are characterized by fault features that are weak and difficult to extract. Multipoint optimal minimum entropy deconvolution adjusted (MOMEDA) is an effective method for extracting periodic pulses in a signal. However, the decomposition effect of MOMEDA largely depends on th...

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Detalles Bibliográficos
Autores principales: Li, Tengyu, Kou, Ziming, Wu, Juan, Yang, Fen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8304584/
https://www.ncbi.nlm.nih.gov/pubmed/34206517
http://dx.doi.org/10.3390/e23070789

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8304584/
https://www.ncbi.nlm.nih.gov/pubmed/34206517
http://dx.doi.org/10.3390/e23070789

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