フォロー
Xiaoguang Wei
Xiaoguang Wei
Southwest Jiaotong University
確認したメール アドレス: なし
タイトル
引用先
引用先
A novel cascading faults graph based transmission network vulnerability assessment method
X Wei, J Zhao, T Huang, E Bompard
IEEE transactions on power systems 33 (3), 2995-3000, 2017
1252017
A weighted corrective fuzzy reasoning spiking neural P system for fault diagnosis in power systems with variable topologies
T Wang, X Wei, J Wang, T Huang, H Peng, X Song, LV Cabrera, ...
Engineering Applications of Artificial Intelligence 92, 103680, 2020
1162020
Complex network-based cascading faults graph for the analysis of transmission network vulnerability
X Wei, S Gao, T Huang, E Bompard, R Pi, T Wang
IEEE Transactions on Industrial Informatics 15 (3), 1265-1276, 2018
992018
DefGAN: Defect detection GANs with latent space pitting for high-speed railway insulator
D Zhang, S Gao, L Yu, G Kang, X Wei, D Zhan
IEEE Transactions on Instrumentation and Measurement 70, 1-10, 2020
652020
A robust pantograph–catenary interaction condition monitoring method based on deep convolutional network
D Zhang, S Gao, L Yu, G Kang, D Zhan, X Wei
IEEE Transactions on Instrumentation and Measurement 69 (5), 1920-1929, 2019
552019
Sequential-mining-based vulnerable branches identification for the transmission network under continuous load redistribution attacks
Y Liu, S Gao, J Shi, X Wei, Z Han
IEEE Transactions on Smart Grid 11 (6), 5151-5160, 2020
542020
A fault diagnosis method for power transmission networks based on spiking neural p systems with self‐updating rules considering biological apoptosis mechanism
W Liu, T Wang, T Zang, Z Huang, J Wang, T Huang, X Wei, C Li
Complexity 2020 (1), 2462647, 2020
522020
Integrated fault propagation model based vulnerability assessment of the electrical cyber-physical system under cyber attacks
T Zang, S Gao, B Liu, T Huang, T Wang, X Wei
Reliability Engineering & System Safety 189, 232-241, 2019
522019
Modeling fault propagation paths in power systems: A new framework based on event SNP systems with neurotransmitter concentration
T Wang, XG Wei, T Huang, J Wang, H Peng, MJ Perez-Jimenez, ...
IEEE Access 7, 12798-12808, 2019
462019
A novel fault diagnosis method of smart grids based on memory spiking neural P systems considering measurement tampering attacks
T Wang, W Liu, LV Cabrera, P Wang, X Wei, T Zang
Information Sciences 596, 520-536, 2022
402022
Cascading fault graph for the analysis of transmission network vulnerability under different attacks
X Wei, S Gao, D Li, T Huang, R Pi, T Wang
ZHōNGGUó DIàNJ̄I GōNGCHéNG XUéBàO 38 (2), 465-474, 2018
362018
Cascading failures analysis considering extreme virus propagation of cyber‐physical systems in smart grids
T Wang, X Wei, T Huang, J Wang, L Valencia-Cabrera, Z Fan, ...
Complexity 2019 (1), 7428458, 2019
352019
Complex network-based transmission network vulnerability assessment using adjacent graphs
T Zang, S Gao, T Huang, X Wei, T Wang
IEEE Systems Journal 14 (1), 572-581, 2019
342019
Social energy internet: concept, architecture and outlook
X Wei, S Gao, T Zang, T Huang, T Wang, D Li
ZHōNGGUó DIàNJ̄I GōNGCHéNG XUéBàO 38 (17), 4969-4986, 2018
262018
A reinforcement learning approach for defending against multiscenario load redistribution attacks
J Lei, S Gao, J Shi, X Wei, M Dong, W Wang, Z Han
IEEE Transactions on Smart Grid 13 (5), 3711-3722, 2022
252022
Pre-overload-graph-based vulnerable correlation identification under load redistribution attacks
Y Liu, S Gao, J Shi, X Wei, Z Han, T Huang
IEEE Transactions on Smart Grid 11 (6), 5216-5226, 2020
252020
Identification of two vulnerability features: A new framework for electrical networks based on the load redistribution mechanism of complex networks
X Wei, S Gao, T Huang, T Wang, W Fan
Complexity 2019 (1), 3531209, 2019
252019
Summary and Outlook of Capacity Configuration and Energy Management Technology of High-speed Railway Energy Storage System| 高速铁路储能系统容量配置与能量管理技术综述与展望
J Luo, X Wei, S Gao, T Huang, D Li
ZHōNGGUó DIàNJ̄I GōNGCHéNG XUéBàO 42 (19), 7028-7050, 2022
242022
Adjacent graph based vulnerability assessment for electrical networks considering fault adjacent relationships among branches
T Zang, J Lei, X Wei, T Huang, T Wang, MJ Pérez-Jiménez, H Lin
Ieee Access 7, 88927-88936, 2019
212019
Adaptive deep learning for high-speed railway catenary swivel clevis defects detection
S Gao, G Kang, L Yu, D Zhang, X Wei, D Zhan
IEEE Transactions on Intelligent Transportation Systems 23 (2), 1299-1310, 2020
202020
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