Early identification of unbalanced freight traffic loads based on wayside monitoring and artificial intelligence

R Silva, A Guedes, D Ribeiro, C Vale, A Meixedo… - Sensors, 2023 - mdpi.com
The identification of instability problems in freight trains circulation such as unbalanced
loads is of particular importance for railways management companies and operators. The …

Virtual axle detector based on analysis of bridge acceleration measurements by fully convolutional network

SR Lorenzen, H Riedel, MM Rupp, L Schmeiser… - Sensors, 2022 - mdpi.com
In the practical application of the Bridge Weigh-In-Motion (BWIM) methods, the position of
the wheels or axles during the passage of a vehicle is a prerequisite in most cases. To avoid …

A method for measuring the mass of a railroad car using an artificial neural network

MA Denisenko, AS Isaeva, AS Sinyukin, AV Kovalev - Infrastructures, 2024 - mdpi.com
The fast, convenient, and accurate determination of railroad cars' load mass is critical to
ensure safety and allow asset counting in railway infrastructure. In this paper, we propose a …

[HTML][HTML] New fatigue load models for assessing railway bridges in Europe

S Verdenius, S Hengeveld, J Maljaars - Engineering Structures, 2023 - Elsevier
Train axle load measurements performed between 2012 and 2019 at 87 locations in the
Dutch railway network are used to evaluate fatigue of railway bridges. The theoretical fatigue …

Imprecise structural reliability analysis of steel railway bridges using p-boxes and a fatigue probabilistic approach

M Zakharenko, GT Frøseth… - Structure and …, 2024 - Taylor & Francis
Abstract Imprecise Structural Reliability Analysis (ISRA) is a novel and promising field in
structural reliability. This work develops and introduces a framework for ISRA applied to …

How conservative is the Norwegian fatigue load model for service life estimation of railway bridges?

M Zakharenko, GT Frøseth… - Structure and …, 2024 - Taylor & Francis
This study presents correction factors for the Norwegian fatigue load model for railway
bridges. The fundamental idea of a correction factor is to ensure that the load model induces …

[HTML][HTML] Object-size-driven design of convolutional neural networks: virtual axle detection based on raw data

H Riedel, SR Lorenzen, C Hübler - Engineering Applications of Artificial …, 2025 - Elsevier
As infrastructure ages, the need for efficient monitoring methods becomes increasingly
critical. Bridge Weigh-In-Motion (BWIM) systems are crucial for cost-effective determination …

Overcoming strain gauges limitation in the estimation of train load passing on a bridge through deep learning

L Radicioni, FM Bono, L Benedetti… - NDE 4.0, Predictive …, 2023 - spiedigitallibrary.org
The estimation of trains weight could be useful under certain circumstances. For instance, in
the field of structural health monitoring, some considerations can be derived from the …

Raw Data Is All You Need: Virtual Axle Detector with Enhanced Receptive Field

H Riedel, RS Lorenzen, C Hübler - arXiv preprint arXiv:2309.01574, 2023 - arxiv.org
Rising maintenance costs of ageing infrastructure necessitate innovative monitoring
techniques. This paper presents a new approach for axle detection, enabling real-time …

A System of IoT Devices to prevent Overloading and Underloading of Railway Wagons

D Gorai, H Himanshu, P Maurya… - 2024 International …, 2024 - ieeexplore.ieee.org
The ever-increasing demand for railway freight transportation necessitates improved
operational efficiency and safety. However, underloading and overloading of wagons pose …