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zhiwei han
zhiwei han
Bestätigte E-Mail-Adresse bei my.swjtu.edu.cn
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Zitiert von
Zitiert von
Jahr
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
4312017
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
1452018
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
1032014
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
852017
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
772018
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
622017
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
602019
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
552020
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
552019
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
542013
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
522019
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
512016
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
362014
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
342018
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
262021
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
262020
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
242014
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
212020
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
192022
Cantilever structure segmentation and parameters detection based on concavity and convexity of 3-D point clouds
Z Han, C Yang, Z Liu
IEEE Transactions on Instrumentation and Measurement 69 (6), 3026-3036, 2019
192019
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