Bearing Fault Diagnosis Using Multidomain Fusion-Based Vibration Imaging and Multitask Learning

Statistical features extraction from bearing fault signals requires a substantial level of knowledge and domain expertise. Furthermore, existing feature extraction techniques are mostly confined to selective feature extraction methods namely, time-domain, frequency-domain, or time-frequency domain s...

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Detalles Bibliográficos
Autores principales: Hasan, Md Junayed, Islam, M. M. Manjurul, Kim, Jong-Myon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8747317/
https://www.ncbi.nlm.nih.gov/pubmed/35009595
http://dx.doi.org/10.3390/s22010056

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8747317/
https://www.ncbi.nlm.nih.gov/pubmed/35009595
http://dx.doi.org/10.3390/s22010056

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