A Wasserstein generative adversarial network-based approach for real-time track irregularity estimation using vehicle dynamic responses

Data driven structural dynamic response reconstruction using segment based generative adversarial networks

(2021) Gao Fan et al.   ENGINEERING STRUCTURES

Dynamic response reconstruction for structural health monitoring using densely connected convolutional networks

(2020) Gao Fan et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Physics-guided convolutional neural network (PhyCNN) for data-driven seismic response modeling

(2020) Ruiyang Zhang et al.   ENGINEERING STRUCTURES

Vibration-based damage detection of rail fastener clip using convolutional neural network: Experiment and simulation

(2020) Zhandong Yuan et al.   ENGINEERING FAILURE ANALYSIS

A Kalman filter algorithm for identifying track irregularities of railway bridges using vehicle dynamic responses

(2019) Xiang Xiao et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Deep Convolutional Neural Network for Structural Dynamic Response Estimation and System Identification

(2018) Rih-Teng Wu et al.   JOURNAL OF ENGINEERING MECHANICS

Correlation of track irregularities and vehicle responses based on measured data

(2017) Tomas Karis et al.   VEHICLE SYSTEM DYNAMICS

Road and track irregularities: measurement, assessment and simulation

(2015) Andreas Haigermoser et al.   VEHICLE SYSTEM DYNAMICS

A Mixed Filtering Approach for Track Condition Monitoring Using Accelerometers on the Axle Box and Bogie

(2011) Jun Seok Lee et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

Multisensor Railway Track Geometry Surveying System

(2011) Burak Akpinar et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

Fundamentals of vehicle–track coupled dynamics

(2009) Wanming Zhai et al.   VEHICLE SYSTEM DYNAMICS