TY  - GEN 
AU  - Haghbin, Masoud
AU  - Chiachío Ruano, Juan
AU  - Muñoz, Sergio
AU  - Escalona Franco, Jose Luis
AU  - Guillén, Antonio J.
AU  - Crespo Marquez, Adolfo
AU  - Cantero Chinchilla, Sergio
PY  - 2024
UR  - https://hdl.handle.net/10481/94016
AB  - This paper presents a deep learning approach for predicting rail corrugation based on onboard
rolling-stock vertical acceleration and forward velocity measurements using One-Dimensional
Convolutional Neural Networks (CNN-1D). The model’s performance...
LA  - eng
PB  - MDPI
KW  - Rail corrugation
KW  - Deep learning
KW  - Convolutional neural networks
TI  - Predicting Rail Corrugation Based on Convolutional Neural Networks Using Vehicle’s Acceleration Measurements
DO  - 10.3390/s24144627
ER  -