Zhipeng Wang

Orcid: 0000-0003-3039-7582

Affiliations:
  • Beijing Jiaotong University, State Key Lab of Rail Traffic Control & Safety, Beijing, China


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

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
TriRNet: Real-Time Rail Recognition Network for UAV-Based Railway Inspection.
IEEE Trans. Intell. Transp. Syst., May, 2024

FDSP-HRID: Few-Shot Detector With Self-Supervised Pretraining for High-Speed Rail Infrastructure Defects.
IEEE Trans. Instrum. Meas., 2024

2023
3DGraphSeg: A Unified Graph Representation- Based Point Cloud Segmentation Framework for Full-Range High-Speed Railway Environments.
IEEE Trans. Ind. Informatics, December, 2023

Anchor-adaptive railway track detection from unmanned aerial vehicle images.
Comput. Aided Civ. Infrastructure Eng., December, 2023

Self-Attentive Local Aggregation Learning With Prototype Guided Regularization for Point Cloud Semantic Segmentation of High-Speed Railways.
IEEE Trans. Intell. Transp. Syst., October, 2023

Manifold-Contrastive Broad Learning System for Wheelset Bearing Fault Diagnosis.
IEEE Trans. Intell. Transp. Syst., September, 2023

Segmentalized mRMR Features and Cost-Sensitive ELM With Fixed Inputs for Fault Diagnosis of High-Speed Railway Turnouts.
IEEE Trans. Intell. Transp. Syst., May, 2023

An Online Health Monitoring Framework for Traction Motors in High-Speed Trains Using Temperature Signals.
IEEE Trans. Ind. Informatics, 2023

2022
Fully Decomposed Singular Value and Fixed Dictionary Extreme Learning Machine for Bogie Fault Diagnosis.
IEEE Trans. Intell. Transp. Syst., 2022

Fully Decoupled Residual ConvNet for Real-Time Railway Scene Parsing of UAV Aerial Images.
IEEE Trans. Intell. Transp. Syst., 2022

UAV-LiDAR-Based Measuring Framework for Height and Stagger of High-Speed Railway Contact Wire.
IEEE Trans. Intell. Transp. Syst., 2022

Hybrid deep learning architecture for rail surface segmentation and surface defect detection.
Comput. Aided Civ. Infrastructure Eng., 2022

2020
Chaotic Ensemble of Online Recurrent Extreme Learning Machine for Temperature Prediction of Control Moment Gyroscopes.
Sensors, 2020

An Improved Faster R-CNN for UAV-Based Catenary Support Device Inspection.
Int. J. Softw. Eng. Knowl. Eng., 2020

Densely pyramidal residual network for UAV-based railway images dehazing.
Neurocomputing, 2020

Comparison of Lidar Point Cloud Features in Railway Environment.
Proceedings of the IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, 2020

2019
Adaptive Multiclass Mahalanobis Taguchi System for Bearing Fault Diagnosis under Variable Conditions.
Sensors, 2019

2018
Bearing Fault Diagnosis Using Multiclass Self-Adaptive Support Vector Classifiers Based on CEEMD-SVD.
Wirel. Pers. Commun., 2018

Spectral Kurtosis Entropy and Weighted SaE-ELM for Bogie Fault Diagnosis under Variable Conditions.
Sensors, 2018

A Semi-Supervised Approach to Bearing Fault Diagnosis under Variable Conditions towards Imbalanced Unlabeled Data.
Sensors, 2018

Adaptive Diagnosis for Rotating Machineries Using Information Geometrical Kernel-ELM Based on VMD-SVD.
Entropy, 2018

2016
Research on Performance Degradation Assessment Method of Train Rolling Bearings under incomplete data.
Proceedings of the 22nd International Conference on Distributed Multimedia Systems, 2016


  Loading...