Hongrui Wang
Orcid: 0000-0001-7194-4728Affiliations:
- 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.
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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
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
2022
Adversarial Reconstruction Based on Tighter Oriented Localization for Catenary Insulator Defect Detection in High-Speed Railways.
IEEE Trans. Intell. Transp. Syst., 2022
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
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
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