Results 51 to 60 of about 673,431 (151)
Derailment accidents of high‐speed trains (HSTs) occur occasionally. How to enable derailed vehicles to decelerate and come to a stop as much as possible along the track alignment is the last line of defense for mitigating the losses caused by HST derailment disasters.
Fengzhuang Tong +5 more
wiley +1 more source
Influence of Structural Parameters on Mechanical Properties of Double-Block Ballastless Track
A high degree of integrity is the most remarkable feature that makes double-block ballastless track different from other ballastless track structure. Based on the beam/plate theory on elastic foundation, influences of several structural parameters (such ...
Hao Xu, Wang Ping, Rong Chen
core +1 more source
Bearings are critical components of bridges and are susceptible to various forms of deterioration under the action of traffic loads and complex environmental conditions. Existing methods for assessing the condition of bearings, including visual inspections, force sensors, cameras, and vibration sensors, still present challenges in accurately locating ...
Chuang Wang +7 more
wiley +1 more source
To figure out the structure and influencing factors of welded welded turnout slab convex block of ballastless track on bridge, according to the characteristics of force and displacement of welded turnout on bridge, the turnout-bridge-platform integration
Yuan Xing Hao, Feng Dai, Rong Shan Yang
core +1 more source
Taking the damping layer as the research object, first, by using the dynamic mechanical test, based on the high-order fractional derivative FVMP model, and in combination with the temperature-frequency equivalent principle, the temperature and frequency ...
NIU Zhenyu, LIU Linya, QIN Jialiang, ZUO Zhiyuan
doaj +1 more source
Efficient quantifying track structure cracks using deep learning
Abstract High‐speed railway ballastless track structure crack detection usually has a high demand for the efficiency of crack detection technology. To overcome the limitation that current crack quantification methods usually require multiple steps, this paper proposes an efficient quantification method for track structure cracks using deep learning ...
Hongshuo Sun, Li Song, Zhiwu Yu
wiley +1 more source
Parallel computing aided analyses of dynamic buckling for railway track infrastructure
Abstract This paper presents a scalable parallel computing framework for simulating track buckling under dynamic train loads, enabling large‐scale railway track stability analysis. A three‐dimensional (3D) track model is developed using finite element‐based Euler–Bernoulli beam formulations for rails, dynamic force inputs, and nonlinear interactions at
Dan Agustin +4 more
wiley +1 more source
Weak Supervision: A Survey on Predictive Maintenance
The authors conduct a comprehensive examination of Weakly Supervised Learning for Predictive Maintenance, the survey discusses the challenges and identifies open research lines. ABSTRACT The maintenance advancements achieved in Industry 4.0 generate large amounts of data, necessitating complete, accurate, and precise labels for training datasets to ...
Antonio M. Martínez‐Heredia +1 more
wiley +1 more source
Diagnosis of high‐speed railway ballastless track arching based on unsupervised learning framework
Abstract Vehicle‐mounted detection methods have been widely applied in the maintenance of high‐speed railways (HSRs), providing feasibility for diagnosing ballastless track arching. However, applying detection data faces several key limitations: (1) The threshold mostly requires manual setting, making recognition accuracy highly subjective; (2) the ...
Xueyang Tang +4 more
wiley +1 more source
The theoretical and analytical approaches of stochastic dynamics constitute the foundation for performing in‐depth inquiries into the random dynamic behavior of high‐speed railway vehicle–track system (RVTS). The proposal of the generalized probability density evolution method (PDEM) has opened up new perspectives for the stochastic dynamic analysis of
Dengke Ma +5 more
wiley +1 more source

