Cargando…
A Machine-Learning-Based Approach for Railway Track Monitoring Using Acceleration Measured on an In-Service Train
In this paper, a novel railway track monitoring approach is proposed that employs acceleration responses measured on an in-service train to detect the loss of stiffness in the track sub-layers. An Artificial Neural Network (ANN) algorithm is developed that works with the energies of the train accele...
Autores principales: | Malekjafarian, Abdollah, Sarrabezolles, Chalres-Antoine, Khan, Muhammad Arslan, Golpayegani, Fatemeh |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10490588/ https://www.ncbi.nlm.nih.gov/pubmed/37688026 http://dx.doi.org/10.3390/s23177568 |
Ejemplares similares
-
A Machine Learning Approach to Bridge-Damage Detection Using Responses Measured on a Passing Vehicle
por: Malekjafarian, Abdollah, et al.
Publicado: (2019) -
Indirect Monitoring of Frequencies of a Multiple Span Bridge Using Data Collected from an Instrumented Train: A Field Case Study
por: Malekjafarian, Abdollah, et al.
Publicado: (2022) -
Monitoring Track Transition Zones in Railways
por: Sañudo, Roberto, et al.
Publicado: (2021) -
Railway Noise Annoyance on the Railway Track in Northwest Slovakia
por: Pultznerova, Alzbeta, et al.
Publicado: (2018) -
Dealing with disruptions in railway track inspection using risk-based machine learning
por: Kaewunruen, Sakdirat, et al.
Publicado: (2023)