Self-Adaptive Spectrum Analysis Based Bearing Fault Diagnosis

Bearings are critical parts of rotating machines, making bearing fault diagnosis based on signals a research hotspot through the ages. In real application scenarios, bearing signals are normally non-linear and unstable, and thus difficult to analyze in the time or frequency domain only. Meanwhile, f...

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Detalles Bibliográficos
Autores principales: Wu, Jie, Tang, Tang, Chen, Ming, Hu, Tianhao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6211093/
https://www.ncbi.nlm.nih.gov/pubmed/30279383
http://dx.doi.org/10.3390/s18103312

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6211093/
https://www.ncbi.nlm.nih.gov/pubmed/30279383
http://dx.doi.org/10.3390/s18103312

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