Railway Track Fault Detection Using Selective MFCC Features from Acoustic Data

Railway track faults may lead to railway accidents and cause human and financial loss. Spatial, temporal, and weather elements, and wear and tear, lead to ballast, loose nuts, misalignment, and cracks leading to accidents. Manual inspection of such defects is time-consuming and prone to errors. Auto...

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Detalles Bibliográficos
Autores principales: Rustam, Furqan, Ishaq, Abid, Hashmi, Muhammad Shadab Alam, Siddiqui, Hafeez Ur Rehman, López, Luis Alonso Dzul, Galán, Juan Castanedo, Ashraf, Imran
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10460052/
https://www.ncbi.nlm.nih.gov/pubmed/37631555
http://dx.doi.org/10.3390/s23167018

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10460052/
https://www.ncbi.nlm.nih.gov/pubmed/37631555
http://dx.doi.org/10.3390/s23167018

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