Predicting Rail Corrugation Based on Convolutional Neural Networks Using Vehicle’s Acceleration Measurements

Masoud Haghbin; Juan Chiachío; Sergio Muñoz; Jose Luis Escalona Franco; Antonio J. Guillén; Adolfo Crespo Marquez; Sergio Cantero-Chinchilla

doi:10.3390/s24144627

Predicting Rail Corrugation Based on Convolutional Neural Networks Using Vehicle’s Acceleration Measurements

Masoud Haghbin, Juan Chiachío, Sergio Muñoz, Jose Luis Escalona Franco, Antonio J. Guillén, Adolfo Crespo Marquez, Sergio Cantero-Chinchilla

Research output: Contribution to journal › Article (Academic Journal) › peer-review

Original language	English
Article number	4627
Journal	Sensors
Volume	24
Issue number	14
DOIs	https://doi.org/10.3390/s24144627
Publication status	Published - 17 Jul 2024

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© 2024 by the authors.

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title = "Predicting Rail Corrugation Based on Convolutional Neural Networks Using Vehicle{\textquoteright}s Acceleration Measurements",

author = "Masoud Haghbin and Juan Chiach{\'i}o and Sergio Mu{\~n}oz and Franco, {Jose Luis Escalona} and Guill{\'e}n, {Antonio J.} and Marquez, {Adolfo Crespo} and Sergio Cantero-Chinchilla",

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TY - JOUR

T1 - Predicting Rail Corrugation Based on Convolutional Neural Networks Using Vehicle’s Acceleration Measurements

AU - Haghbin, Masoud

AU - Chiachío, Juan

AU - Muñoz, Sergio

AU - Franco, Jose Luis Escalona

AU - Guillén, Antonio J.

AU - Marquez, Adolfo Crespo

AU - Cantero-Chinchilla, Sergio

PY - 2024/7/17

Y1 - 2024/7/17

UR - https://doi.org/10.3390/s24144627

U2 - 10.3390/s24144627

DO - 10.3390/s24144627

M3 - Article (Academic Journal)

C2 - 39066028

SN - 1424-8220

VL - 24

JO - Sensors

JF - Sensors

IS - 14

M1 - 4627

ER -

Predicting Rail Corrugation Based on Convolutional Neural Networks Using Vehicle’s Acceleration Measurements

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