LIU Zhigang
Supervisor of Doctorate Candidates
Supervisor of Master's Candidates
Paper Publications
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[1]
An approach to suppress low-frequency oscillation by combining extended state observer with model predictive control of EMUs rectifier,刘志刚(教师),Wang,Yanbo,Zhang,Jing,Wan,Hongrui,Song,Yang,Liu,Zhigang,Lu,Xiaobing.IEEE Transactions on Power Electronics DOI 10
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[2]
A suppression method for voltage low-frequency oscillation in high-speed railway using passivity-based control of Euler-Lagrange mode,刘志刚(教师),Duan,Fuchuan,Lu,Xiaobing,Zhang,Jing,Wang,Hongrui,Liu,Zhigang,Song,Yang.IEEE Transactions on Industrial Informatics DOI: 10
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[3]
A high-precision positioning approach for catenary support components with multi-scale difference,刘志刚(教师),Lu,Xiaobing,Xu,Zhao,Duan,Fuchuan,Liu,Zhigang,Song,Yang.IEEE Transactions on Instrumentation & Measurement DOI: 10
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[4]
A high-precision positioning approach for catenary support components with multi-scale difference,刘志刚(教师),Wang,Hongrui,Lu,Xiaobin,Duan,Fuchuan,Liu,Zhigang,Song,Yang.IEEE Transactions on Instrumentation & Measurement DOI: 10
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[5]
A high-precision loose strands diagnosis approach for isoelectric line in high-speed railway,刘志刚(教师),al,et,Liu,Zhigang,Ouyang,Huajiang,Song,Yang.IEEE Transactions on Industrial Informatics
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[6]
Extended black-box model of pantograph-catenary detachment arc considering pantograph-catenary dynamics in electrified railway,刘志刚(教师),al,et,Wang,Hongrui,Liu,Zhigang,Song,Yang. IEEE Transactions on Industry Applications
Patents
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Published Books
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[1]
Analysis and Suppression of Low Frequency Oscillation between EMUs and Traction Network in High-Speed Railways.Springer Nature.book
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[2]
Deep Learning-Based Detection of Catenary Support Component Defect and Fault in High-Speed Railways.Springer Nature.monographs
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[3]
Zhiqiang Long, Xiaolong Li. Maglev Trains - Key Underlying Technologies.Springer Press.2015.
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[4]
Hilbert-Huang Transform and its Applications in Power System.Science Press.2016.
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[5]
Maglev Trains - Key Underlying Technologies.Springer Press:Springer Press.2017.