Automatic defect detection of fasteners on the catenary support device using deep convolutional neural network J Chen, Z Liu, H Wang, A Núñez, Z Han IEEE Transactions on Instrumentation and Measurement 67 (2), 257-269, 2017 | 437 | 2017 |
A CNN-based defect inspection method for catenary split pins in high-speed railway J Zhong, Z Liu, Z Han, Y Han, W Zhang IEEE Transactions on Instrumentation and Measurement 68 (8), 2849-2860, 2018 | 147 | 2018 |
Multiwavelet packet entropy and its application in transmission line fault recognition and classification Z Liu, Z Han, Y Zhang, Q Zhang IEEE transactions on neural networks and learning systems 25 (11), 2043-2052, 2014 | 104 | 2014 |
A high-precision loose strands diagnosis approach for isoelectric line in high-speed railway Z Liu, L Wang, C Li, Z Han IEEE Transactions on Industrial Informatics 14 (3), 1067-1077, 2017 | 85 | 2017 |
Advances of research on high-speed railway catenary Z Liu, Y Song, Y Han, H Wang, J Zhang, Z Han Journal of modern transportation 26, 1-23, 2018 | 77 | 2018 |
A high-precision detection approach for catenary geometry parameters of electrical railway Z Liu, W Liu, Z Han IEEE Transactions on Instrumentation and Measurement 66 (7), 1798-1808, 2017 | 62 | 2017 |
Detection approach based on an improved faster RCNN for brace sleeve screws in high-speed railways Z Liu, Y Lyu, L Wang, Z Han IEEE Transactions on Instrumentation and Measurement 69 (7), 4395-4403, 2019 | 60 | 2019 |
An automated defect detection approach for catenary rod-insulator textured surfaces using unsupervised learning W Liu, Z Liu, H Wang, Z Han IEEE Transactions on Instrumentation and Measurement 69 (10), 8411-8423, 2020 | 58 | 2020 |
A generic anomaly detection of catenary support components based on generative adversarial networks Y Lyu, Z Han, J Zhong, C Li, Z Liu IEEE Transactions on Instrumentation and Measurement 69 (5), 2439-2448, 2019 | 57 | 2019 |
Overview of non-contact image detection technology for pantograph-catenary monitoring Z Han, Z Liu, G Zhang, HM Yang Journal of the china Railway Society 35 (6), 40-47, 2013 | 54 | 2013 |
A high-precision positioning approach for catenary support components with multiscale difference Z Liu, K Liu, J Zhong, Z Han, W Zhang IEEE Transactions on Instrumentation and Measurement 69 (3), 700-711, 2019 | 52 | 2019 |
Detection of contact wire irregularities using a quadratic time–frequency representation of the pantograph–catenary contact force H Wang, Z Liu, Y Song, X Lu, Z Han, J Zhang, Y Wang IEEE Transactions on Instrumentation and Measurement 65 (6), 1385-1397, 2016 | 51 | 2016 |
A new classification method for transient power quality combining spectral kurtosis with neural network Z Liu, Q Zhang, Z Han, G Chen Neurocomputing 125, 95-101, 2014 | 36 | 2014 |
Computer vision–based automatic rod-insulator defect detection in high-speed railway catenary system Y Han, Z Liu, DJ Lee, W Liu, J Chen, Z Han International Journal of Advanced Robotic Systems 15 (3), 1729881418773943, 2018 | 35 | 2018 |
A looseness detection method for railway catenary fasteners based on reinforcement learning refined localization J Zhong, Z Liu, H Wang, W Liu, C Yang, Z Han, A Nunez IEEE Transactions on Instrumentation and Measurement 70, 1-13, 2021 | 26 | 2021 |
Unified deep learning architecture for the detection of all catenary support components W Liu, Z Liu, A Nunez, Z Han IEEE Access 8, 17049-17059, 2020 | 26 | 2020 |
Fracture detection of ear pieces of catenary support devices of high-speed railway based on SIFT feature matching Y Han, Z Liu, Z Han, HM Yang Journal of the China Railway society 36 (2), 31-36, 2014 | 24 | 2014 |
Deep reinforcement learning based active pantograph control strategy in high-speed railway H Wang, Z Han, Z Liu, Y Wu IEEE Transactions on Vehicular Technology 72 (1), 227-238, 2022 | 20 | 2022 |
High-precision detection method for structure parameters of catenary cantilever devices using 3-D point cloud data W Liu, Z Liu, Q Li, Z Han, A Núñez IEEE Transactions on Instrumentation and Measurement 70, 1-11, 2020 | 20 | 2020 |
A GAN-based anomaly detection method for isoelectric line in high-speed railway Y Lyu, Z Han, J Zhong, C Li, Z Liu 2019 IEEE International Instrumentation and Measurement Technology …, 2019 | 19 | 2019 |