[HTML][HTML] Deep learning-based fault diagnostic network of high-speed train secondary suspension systems for immunity to track irregularities and wheel wear

Y Ye, P Huang, Y Zhang - Railway Engineering Science, 2022 - Springer
Fault detection and isolation of high-speed train suspension systems is of critical importance
to guarantee train running safety. Firstly, the existing methods concerning fault detection or …

[HTML][HTML] A review of deep learning applications for railway safety

K Oh, M Yoo, N Jin, J Ko, J Seo, H Joo, M Ko - Applied Sciences, 2022 - mdpi.com
Railways speedily transport many people and goods nationwide, so railway accidents can
pose immense damage. However, the infrastructure of railways is so complex that its …

Shock detection of rotating machinery based on activated time-domain images and deep learning: An application to railway wheel flat detection

Y Ye, C Huang, J Zeng, Y Zhou, F Li - Mechanical Systems and Signal …, 2023 - Elsevier
Failures of rotating mechanical components (eg, turbine, gear, wheelset) often cause
serious shocks to the mechanical system, and real-time detection of these shocks is of …

[HTML][HTML] Identification of sleeper support conditions using mechanical model supported data-driven approach

M Sysyn, M Przybylowicz, O Nabochenko, L Kou - Sensors, 2021 - mdpi.com
The ballasted track superstructure is characterized by a relative quick deterioration of track
geometry due to ballast settlements and the accumulation of sleeper voids. The track zones …

Computer vision for hunting stability inspection of high-speed trains

Y Ye, H Gao, C Huang, H Li, D Shi, H Dai, P Wu… - Measurement, 2023 - Elsevier
The existing online inspection methods for hunting motion of high-speed trains are mainly
based on processing the acceleration of bogie frames, which cannot directly and reliably …

[HTML][HTML] Automated machine learning recognition to diagnose flood resilience of railway switches and crossings

J Sresakoolchai, M Hamarat, S Kaewunruen - Scientific reports, 2023 - nature.com
The increase in demand for railway transportation results in a significant need for higher
train axle load and faster speed. Weak and sensitive trackforms such as railway switches …

Virtual point tracking method for online detection of relative wheel-rail displacement of railway vehicles

H Li, Y Wang, J Zeng, F Li, Z Yang, G Mei… - Reliability Engineering & …, 2024 - Elsevier
Relative wheel-rail displacement (RWRD) is an important physical quantity that responds to
the hunting stability and running safety of railway vehicles but detecting this physical …

Visual measurement of lateral relative displacement of wheel-rail of high-speed train under earthquake

S Fang, L Yang, J Tang, W Guo, C Zeng, P Shao - Engineering Structures, 2024 - Elsevier
When an earthquake causes the wheel-rail detachment of a high-speed train, the derailment
evaluation criteria based on wheel-rail force faces failure. At this time, the lateral relative …

Full-field deformation measurement of structural nodes based on panoramic camera and deep learning-based tracking method

S Jiang, Y Wang, J Zhang, J Zheng - Computers in Industry, 2023 - Elsevier
Full-field deformation measurement of structures generally requires the aid of complex and
expensive multi-camera measurement systems. A full-field structural deformation …

Bridge Deformation Measurement Using Unmanned Aerial Dual Camera and Learning‐Based Tracking Method

S Jiang, J Zhang, C Gao - Structural Control and Health …, 2023 - Wiley Online Library
Bridge deformation response data are the basis for calculating the dynamic parameters of
the bridge, and it is of great significance to accurately measure the deformation response of …