A Robust Deep Neural Network for Rolling Element Fault Diagnosis under Various Operating and Noisy Conditions

This study proposes a new intelligent diagnostic method for bearing faults in rotating machinery. The method uses a combination of nonlinear mode decomposition based on the improved fast kurtogram, gramian angular field, and convolutional neural network to detect the bearing state of rotating machin...

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Detalles Bibliográficos
Autores principales: Lee, Chun-Yao, Zhuo, Guang-Lin, Le, Truong-An
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9269328/
https://www.ncbi.nlm.nih.gov/pubmed/35808201
http://dx.doi.org/10.3390/s22134705

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9269328/
https://www.ncbi.nlm.nih.gov/pubmed/35808201
http://dx.doi.org/10.3390/s22134705

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