Detection and Estimation Research of High-speed Railway Catenary

Detection and Estimation Research Overview of High-speed Railway Catenary.- Statistical Characteristics of Pantograph-Catenary Contact Pressure Data.- Wave Characteristic of Contact Line Considering Wind.- Geometry Parameters Detection of Catenary.- Slide Fault Detection of Pantograph.- Fault Detection of Catenary Support System.- Wire Irregularities Detection of Contact Line.- Estimation of Catenary Based on Spectrum.

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 automationHonors:Program for New Century Excellent Talents of Ministry of EducationSecond Prize of Progress of Science and Technology of Ministry of Education of Higher SchoolSichuan Academic and Technical Leader Sichuan Province Outstanding Young Academic Leader Sichuan Province Youth Science and Technology PrizeNational Excellent Doctoral Dissertation Award NominationSichuan Province Higher Education Achievement First AwardPublication 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,