Detection and Estimation Research of High-speed Railway Catenary
| Autor: | Zhigang Liu |
|---|---|
| EAN: | 9789811027536 |
| eBook Format: | |
| Sprache: | Englisch |
| Produktart: | eBook |
| Veröffentlichungsdatum: | 01.10.2016 |
| Kategorie: | |
| Schlagworte: | Detection and Estimation Geometry Parameters Detection High-speed Railway Pantograph and Catenary Slide Fault Detection Spectrum Est Statistical Characteristics Support System Fault Detection Wave Characteristic Wire Irregularities Detection |
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Professor Liu takes charge of National Natural Science High-speed Railway Joint Fund Key Project, National Natural Science Projects, Subproject of National 863 Program, Subprojects of National Science and Technology Support Program, Fok Ying-Tong Education Fund of Education Ministry, Railway Ministry Science and Technology Research and Development Program, Sichuan Youth Fund, etc. He has published more than 150 SCI and EI papers, and has 14 authorization invention patents and 3 software copyright. He has published an academic book in Chinese and an academic book in English.
Area:
Electrification and automation of Rail Transit, Power system and its automation
Honors:
Program for New Century Excellent Talents of Ministry of Education
Second Prize of Progress of Science and Technology of Ministry of Education of Higher School
Sichuan Academic and Technical Leader
Sichuan Province Outstanding Young Academic Leader
Sichuan Province Youth Science and Technology Prize
National Excellent Doctoral Dissertation Award Nomination
Sichuan Province Higher Education Achievement First Award
Publication list:
More than 120 papers, part of the papers are listed below.
[1] Zhigang Liu, Yan Cui, Wenhui Li. A classification method for complex power quality disturbances using EEMD and rank wavelet SVM. IEEE Transactions on Smart Grid, 2015, 6(4): 1678-1685.
[2] Zhigang Liu, Zhiwei Han, Yang Zhang, and Qiaoge Zhang. Multiwavelet packet entropy and its application in transmission line fault recognition and classification, IEEE Transactions on Neural Networks and Learning Systems, 2014, 25(11): 2043-2052.
[3] Zhigang Liu, Qiaoge Zhang. An approach to recognize the transient disturbances with spectral kurtosis, IEEE Transactions on Instrumentation & Measurement, 2014, 63(1): 46-55.
[4] Zhigang Liu, Zhiwei Han. Fault diagnosis of electric railway traction substation with model-based relation guiding algorithm. Expert Systems with Applications, 2014, 41(4): 1730-1741.
[5] Zhigang Liu, Qiaoge Zhang, Zhiwei Han, Gang Chen. A new classification method for transient power quality combining spectral kurtosis with neural network, Neurocomputing, 2014, 125: 95-101.[6] Zhigang Liu, Qiaoling Hu, Yan Cui, Qiaoge Zhang. A new detection approach of transient disturbances combining wavelet packet and Tsallis entropy, Neurocomputing, 2014, 142: 393-407
[7] Zhigang Liu, Yan Cui, Wenhui Li. Complex power quality disturbances recognition using wavelet packet entropies and S-transform. Entropy, 2015, 17(8): 5811-5828.
[8] Zhigang Liu, Xiao Geng, Zongming Xie, et al. The multi-core parallel algorithms of wavelet/wavelet packet transforms and their applications in power system harmonic analysis and data compression. International Transactions on Electrical Energy Systems, 2015, 25: 2800-2818.
[9] Hongrui Wang, Zhigang Liu, Yang Song, Xiaobing Lu, and Zhiwei Han. Detection of contact wire irregularities using a quadratic time-frequency representation of the pantograph-catenary contact force. IEEE Transactions on Instrumentation & Measurement, 2015.<
[10] Ying Wang, Zhigang Liu, Xiuqing Mu, et al. An extended Habedank's equation-based EMTP model of pantograph arcing considering pantograph-catenary interactions and train speeds. IEEE Transactions on Power Delivery, 2015, 10.1109/TPWRD. 2015.2500260.
[11] Yang Song, Zhigang Liu, Hongrui Wang, et al. Nonlinear modelling of high-speed catenary based on analytical expressions of cable and truss elements. Vehicle System Dynamics, 2015, 53(10):1455-1479.
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