Zhipeng Wang
Orcid: 0000-0003-3039-7582Affiliations:
- Beijing Jiaotong University, State Key Lab of Rail Traffic Control & Safety, Beijing, China
According to our database1,
Zhipeng Wang
authored at least 23 papers
between 2016 and 2024.
Collaborative distances:
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Bibliography
2024
A Health Monitoring Model for Circulation Water Pumps in a Nuclear Power Plant Based on Graph Neural Network Observer.
Sensors, July, 2024
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
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
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
Int. J. Softw. Eng. Knowl. Eng., 2020
Neurocomputing, 2020
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