A Hybrid SVD-Based Denoising and Self-Adaptive TMSST for High-Speed Train Axle Bearing Fault Detection

Fault detection of axle bearings is crucial to promote the safe, efficient, and reliable running of high-speed trains. In recent decades, time−frequency analysis (TFA) techniques have been widely used in mechanical equipment fault diagnoses. Time-reassigned multisynchrosqueezing transform (TMSST), a...

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Detalles Bibliográficos
Autores principales: Deng, Feiyue, Liu, Chao, Liu, Yongqiang, Hao, Rujiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8469842/
https://www.ncbi.nlm.nih.gov/pubmed/34577232
http://dx.doi.org/10.3390/s21186025

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8469842/
https://www.ncbi.nlm.nih.gov/pubmed/34577232
http://dx.doi.org/10.3390/s21186025

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