Hongrui Wang

Orcid: 0000-0001-7194-4728

Affiliations:
  • Delft University of Technology, Department of Engineering Structures, Section of Railway Engineering, Netherlands
  • Southwest Jiaotong University, School of Electrical Engineering, Chengdu, China


According to our database1, Hongrui Wang authored at least 22 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Physics-Informed Neural Networks for Solving Forward and Inverse Problems in Complex Beam Systems.
IEEE Trans. Neural Networks Learn. Syst., May, 2024

Transfer learning for improved generalizability in causal physics-informed neural networks for beam simulations.
Eng. Appl. Artif. Intell., 2024

Neural Oscillators for Generalization of Physics-Informed Machine Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Physics-informed machine learning for moving load problems.
CoRR, 2023

2022
Adversarial Reconstruction Based on Tighter Oriented Localization for Catenary Insulator Defect Detection in High-Speed Railways.
IEEE Trans. Intell. Transp. Syst., 2022

Rail Break Prediction and Cause Analysis Using Imbalanced In-Service Train Data.
IEEE Trans. Instrum. Meas., 2022

Predicting traction return current in electric railway systems through physics-informed neural networks.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

2021
A Response Spectrum Analysis of Wind Deflection in Railway Overhead Contact Lines Using Pseudo-Excitation Method.
IEEE Trans. Veh. Technol., 2021

A Looseness Detection Method for Railway Catenary Fasteners Based on Reinforcement Learning Refined Localization.
IEEE Trans. Instrum. Meas., 2021

An Investigation on the Current Collection Quality of Railway Pantograph-Catenary Systems With Contact Wire Wear Degradations.
IEEE Trans. Instrum. Meas., 2021

2020
A Bayesian Network Approach for Condition Monitoring of High-Speed Railway Catenaries.
IEEE Trans. Intell. Transp. Syst., 2020

Reinforcement Learning in Railway Timetable Rescheduling.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

Unsupervised anomaly detection in railway catenary condition monitoring using autoencoders.
Proceedings of the 46th Annual Conference of the IEEE Industrial Electronics Society, 2020

2019
Entropy-Based Local Irregularity Detection for High-Speed Railway Catenaries With Frequent Inspections.
IEEE Trans. Instrum. Meas., 2019

Pareto-Based Maintenance Decisions for Regional Railways With Uncertain Weld Conditions Using the Hilbert Spectrum of Axle Box Acceleration.
IEEE Trans. Ind. Informatics, 2019

2018
Automatic Defect Detection of Fasteners on the Catenary Support Device Using Deep Convolutional Neural Network.
IEEE Trans. Instrum. Meas., 2018

A Condition-Based Maintenance Methodology for Rails in Regional Railway Networks Using Evolutionary Multiobjective Optimization.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017
Prior-Information-Based Finite-Frequency H<sub>∞</sub> Control for Active Double Pantograph in High-Speed Railway.
IEEE Trans. Veh. Technol., 2017

Ensemble EMD-based signal denoising using modified interval thresholding.
IET Signal Process., 2017

Identification of the catenary structure wavelength using pantograph head acceleration measurements.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2017

2016
Detection of Contact Wire Irregularities Using a Quadratic Time-Frequency Representation of the Pantograph-Catenary Contact Force.
IEEE Trans. Instrum. Meas., 2016

Ensemble EMD-Based Automatic Extraction of the Catenary Structure Wavelength From the Pantograph-Catenary Contact Force.
IEEE Trans. Instrum. Meas., 2016


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