An Intelligence Method for Recognizing Multiple Defects in Rail

Ultrasonic guided waves are sensitive to many different types of defects and have been studied for defect recognition in rail. However, most fault recognition algorithms need to extract features from the time domain, frequency domain, or time-frequency domain based on experience or professional know...

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Detalles Bibliográficos
Autores principales: Deng, Fei, Li, Shu-Qing, Zhang, Xi-Ran, Zhao, Lin, Huang, Ji-Bing, Zhou, Cheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8662418/
https://www.ncbi.nlm.nih.gov/pubmed/34884112
http://dx.doi.org/10.3390/s21238108

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8662418/
https://www.ncbi.nlm.nih.gov/pubmed/34884112
http://dx.doi.org/10.3390/s21238108

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