Results 51 to 60 of about 236,647 (162)
RailNet: Railway Track Anomaly Detection via Image Processing With Hybrid Deep Learning Techniques
Our model leverages a DenseNet121 backbone combined with advanced neural network layers to achieve high accuracy in identifying and classifying track defects. The dataset, consisting of images of railway tracks with and without faults, was rigorously augmented to enhance model robustness.
Umair Saeed +8 more
wiley +1 more source
Railway ballast is easily contaminated by different fouling material and the fouled ballast always causes the deterioration of railway track. Many previous studies focused on the effect of a certain kind of fouling material on ballast performance, but ...
Xu Zhang +4 more
doaj +1 more source
A deep learning framework integrated with a 2D train track bridge simulation model is developed to classify corrugation and ballast faults from vibration signals using time frequency analysis. The method achieves high accuracy and supports predictive maintenance for railway infrastructure.
Shahzor Memon +6 more
wiley +1 more source
ABSTRACT Decarbonizing the intercity rail in sub‐Saharan Africa requires the use of energy architectures that go beyond traditional grid reliance at the expense of traction performance. This paper introduces a novel photovoltaic (PV)‐assisted hybrid traction topology for a 42 km Pretoria–Sandton rail corridor in South Africa, where between‐rail PV ...
Chinedu T. Obe, Nnamdi I. Nwulu
wiley +1 more source
Novel use of geosynthetics to increase the confinement of railway track ballast layer [PDF]
Insufficient confining pressure in railway ballast leads to particle rotation, degradation, and excessive deformation. Enhancing lateral confinement improves track stiffness and reduces both resilient and permanent deformations, which is particularly ...
Lenart Stanislav +2 more
doaj +1 more source
Assessing pavement sustainability requires jointly evaluating structural performance and environmental impacts, yet these dimensions are often analyzed separately. This study proposes an integrated framework combining mechanistic–empirical pavement design and life cycle assessment (LCA) to quantify the structural–environmental trade‐off associated with
Alexandre Simas de Medeiros +3 more
wiley +1 more source
Railway ballast is normally made of crushed rocks with grading (particle size distributions). Ballast is inevitably suffering from more rapid degradation. Because ballast keeps undergoing and dissipating most of the train loadings, furthermore, the train
Guo, Y. (author) +2 more
core +1 more source
Ballast Contamination Mechanisms: A Criterial Review of Characterisation and Performance Indicators
Across the world, ballasted railway tracks are utilised extensively due to their cost efficiency, ease of drainage, and capacity to withstand cyclic imposed loadings from heavy trains.
Daniel Bassey +4 more
doaj +1 more source
This study investigated the suitability of natural cinder gravel blended with fine‐crushed aggregates as a base course pavement material using laboratory tests and numerical simulations. Laboratory test results for natural cinder gravel indicated that cinder gravel alone failed to meet the Ethiopian Roads Authority (ERA) standard specifications for ...
Hawi Abdissa +4 more
wiley +1 more source
In recent times, the railway sector has faced a pressing need to expand its railway network, resulting in the widespread adoption of ballasted tracks. These tracks are favored for their ease of construction, making them a cost-effective solution for the ...
Ratabhat Wangtawesap +2 more
doaj +1 more source

