Detection and Estimation Research of High-speed Railway Catenary

1. Front Matter

   Pages i-xiv

   PDF

2. Overview of Detection and Estimation of High-Speed Railway Catenary

   • Zhigang Liu

   Pages 1-21

3. Statistical Characteristics of Pantograph-Catenary Contact Pressure

   • Zhigang Liu

   Pages 23-54

4. Wave Motion Characteristic of Contact Line Considering Wind

   • Zhigang Liu

   Pages 55-75

5. Geometry Parameters Detection of Catenary Based on Image Processing

   • Zhigang Liu

   Pages 77-107

6. Slide Plate Fault Detection of Pantograph Based on Image Processing

   • Zhigang Liu

   Pages 109-137

7. Detection of Catenary Support System

   • Zhigang Liu

   Pages 139-232

8. Wire Irregularities Detection of Contact Line

   • Zhigang Liu

   Pages 233-254

9. Estimation of Catenary Based on Spectrum

   • Zhigang Liu

   Pages 255-287

This book describes the wave characteristics of contact lines taking wind into consideration and discusses new methods for detecting catenary geometry, pantograph slide fault, and catenary support system faults. It also introduces wire-irregularity detection methods for catenary estimation, and discusses modern spectrum estimation tools for catenary.


It is organized in three parts: the first discusses statistical characteristics of pantograph-catenary data, such as stationarity, periodicity, correlation, high-order statistical properties and wave characteristics of contact lines, which are the basis of pantograph-catenary relationship analysis. The second part includes geometry parameter detection and support-system fault detection in catenary, as well as slide-fault detection in pantographs, and presents some new detection algorithms and plans. The final part addresses catenary estimation, including detection of contact-line wire irregularities and estimation of catenary based on spectrum, and presents detection methods for contact-line irregularity and modern spectrum estimation tools for catenary.

• High-speed Railway
• Pantograph and Catenary
• Detection and Estimation
• Statistical Characteristics
• Wave Characteristic
• Geometry Parameters Detection
• Slide Fault Detection
• Support System Fault Detection
• Wire Irregularities Detection
• Spectrum Estimation

• School of Electrical Engineering, Southwest Jiaotong University, Chengdu, China

  Zhigang Liu

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.