Investigation of Feature Engineering Methods for Domain-Knowledge-Assisted Bearing Fault Diagnosis

The engineering challenge of rolling bearing condition monitoring has led to a large number of method developments over the past few years. Most commonly, vibration measurement data are used for fault diagnosis using machine learning algorithms. In current research, purely data-driven deep learning...

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Detalles Bibliográficos
Autores principales: Bienefeld, Christoph, Becker-Dombrowsky, Florian Michael, Shatri, Etnik, Kirchner, Eckhard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10528534/
https://www.ncbi.nlm.nih.gov/pubmed/37761577
http://dx.doi.org/10.3390/e25091278

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10528534/
https://www.ncbi.nlm.nih.gov/pubmed/37761577
http://dx.doi.org/10.3390/e25091278

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