An Automatic Fracture Defect Detection Approach for Current-carrying Rings of Catenary Droppers Using A Multi-task Neural Network. - Wenqiang Liu; Dan Wang; Yuyang Li 002; Cheng Yang 018; Hui Wang 063; Zhigang Liu 001 (ICACI, 2020)

An Automatic Loose Defect Detection Method for Catenary Bracing Wire Components Using Deep Convolutional Neural Networks and Image Processing. - Wenqiang Liu; Zhigang Liu 001; Yuyang Li 002; Hui Wang 063; Cheng Yang 018; Dan Wang; Donghai Zhai (IEEE Trans. Instrum. Meas., 2021)

A Looseness Detection Method for Railway Catenary Fasteners Based on Reinforcement Learning Refined Localization. - Junping Zhong; Zhigang Liu 001; Hongrui Wang 001; Wenqiang Liu; Cheng Yang 018; Zhiwei Han; Alfredo Núñez (IEEE Trans. Instrum. Meas., 2021)

Adversarial Reconstruction Based on Tighter Oriented Localization for Catenary Insulator Defect Detection in High-Speed Railways. - Junping Zhong; Zhigang Liu 001; Cheng Yang 018; Hongrui Wang 001; Shibin Gao; Alfredo Núñez (IEEE Trans. Intell. Transp. Syst., 2022)