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Long Yu 0002
Person information
- affiliation (PhD 2008): Southwest Jiaotong University, School of Electrical Engineering, Chengdu, China
Other persons with the same name
- Long Yu — disambiguation page
- Long Yu 0001
— Xinjiang University, College of Information Science and Engineering, Urumqi, China
- Long Yu 0003
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2020 – today
- 2024
- [j19]Jian Wang
Uncertainty-aware trustworthy weather-driven failure risk predictor for overhead contact lines. Reliab. Eng. Syst. Saf. 242: 109734 (2024) - [j18]Jian Wang
Robust deep Gaussian process-based trustworthy fog-haze-caused pollution flashover prediction approach for overhead contact lines. Reliab. Eng. Syst. Saf. 243: 109829 (2024) - [j17]Kehao Yang
A Real-Time Siamese Network Based on Knowledge Distillation for Insulator Defect Detection of Overhead Contact Lines. IEEE Trans. Instrum. Meas. 73: 1-16 (2024) - 2023
- [j16]Wei Quan, Shaopeng Guo, Xuemin Lu
ArcMask: a robust and fast image-based method for high-speed railway pantograph-catenary arcing instance segmentation. Neural Comput. Appl. 35(9): 6875-6890 (2023) - [j15]Jian Wang
Data-driven lightning-related failure risk prediction of overhead contact lines based on Bayesian network with spatiotemporal fragility model. Reliab. Eng. Syst. Saf. 231: 109016 (2023) - [j14]Jian Wang
A data-driven integrated framework for predictive probabilistic risk analytics of overhead contact lines based on dynamic Bayesian network. Reliab. Eng. Syst. Saf. 235: 109266 (2023) - [j13]Yang Liu
A Novel Arcing Detection Model of Pantograph-Catenary for High-Speed Train in Complex Scenes. IEEE Trans. Instrum. Meas. 72: 1-13 (2023) - [c1]Xingyang Liu
Weather-Related Failure Risk Prediction of Overhead Contact Lines Based on Deep Gaussian Process. HP3C 2023: 120-126 - 2022
- [j12]Jian Wang
Predicting wind-caused floater intrusion risk for overhead contact lines based on Bayesian neural network with spatiotemporal correlation analysis. Reliab. Eng. Syst. Saf. 225: 108603 (2022) - [j11]Jian Wang
Defect Severity Identification for a Catenary System Based on Deep Semantic Learning. Sensors 22(24): 9922 (2022) - [j10]Shibin Gao
Adaptive Deep Learning for High-Speed Railway Catenary Swivel Clevis Defects Detection. IEEE Trans. Intell. Transp. Syst. 23(2): 1299-1310 (2022) - [j9]Long Yu
A Survey on Automatic Inspections of Overhead Contact Lines by Computer Vision. IEEE Trans. Intell. Transp. Syst. 23(8): 10104-10125 (2022) - 2021
- [j8]Kaiyi Qian, Long Yu, Shibin Gao:
Fault Tree Construction Model Based on Association Analysis for Railway Overhead Contact System. Int. J. Comput. Intell. Syst. 14(1): 96-105 (2021) - [j7]Dongkai Zhang
DefGAN: Defect Detection GANs With Latent Space Pitting for High-Speed Railway Insulator. IEEE Trans. Instrum. Meas. 70: 1-10 (2021) - 2020
- [j6]Dongkai Zhang, Shibin Gao, Long Yu, Gaoqiang Kang, Dong Zhan, Xiaoguang Wei:
A Robust Pantograph-Catenary Interaction Condition Monitoring Method Based on Deep Convolutional Network. IEEE Trans. Instrum. Meas. 69(5): 1920-1929 (2020)
2010 – 2019
- 2019
- [j5]Yigu Liu
A Novel Fault Prevention Model for Metro Overhead Contact System. IEEE Access 7: 91850-91859 (2019) - [j4]Shiwang Liu
An Efficient Method for High-Speed Railway Dropper Fault Detection Based on Depthwise Separable Convolution. IEEE Access 7: 135678-135688 (2019) - [j3]Gaoqiang Kang
Contact Wire Support Defect Detection Using Deep Bayesian Segmentation Neural Networks and Prior Geometric Knowledge. IEEE Access 7: 173366-173376 (2019) - [j2]Gaoqiang Kang
Deep Architecture for High-Speed Railway Insulator Surface Defect Detection: Denoising Autoencoder With Multitask Learning. IEEE Trans. Instrum. Meas. 68(8): 2679-2690 (2019) - 2018
- [j1]Dong Zhan
An Accurate and Efficient Vision Measurement Approach for Railway Catenary Geometry Parameters. IEEE Trans. Instrum. Meas. 67(12): 2841-2853 (2018)
Coauthor Index
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