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21 results on '"Tang, Junyuan"'

7. Some Research on Suspension Gap Sensor of High-Speed Maglev Train

Author

Li, Jun, Wu, Jun, Tang, Junyuan, Huang, Shengjun, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Ruediger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas Chandra, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Samad, Tariq, Series Editor, Seng, Gan Woon, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zhang, Junjie James, Series Editor, Jia, Limin, editor, Qin, Yong, editor, Suo, Jianguo, editor, Feng, Jianghua, editor, Diao, Lijun, editor, and An, Min, editor

Published
2018
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18. Some Research on Suspension Gap Sensor of High-Speed Maglev Train

Author

Tang Junyuan, Jun Wu, Shengjun Huang, and Li Jun

Subjects
Acceleration, Software, business.industry, Computer science, Control theory, Maglev, Differential (mechanical device), Suspension (vehicle), Fault (power engineering), business, Signal, Compensation (engineering)
Abstract

Aiming at the special temperature environment problems faced by the suspension gap sensor of high-speed maglev train, the paper studies the circuit model analysis and software compensation respectively. Through the design of differential circuit structure and temperature correction table, we solve the problem of sensor temperature drift. At the same time, using the tracking differential device to deal with the change of the vertical gap signal twice, compared with the existing acceleration signal, we get a simple fault self-detection method for the acceleration sensor.

Published
2018

19. On middle and low speed maglev track irregularity detection based on threshold filtering algorithm

Author

Tang Junyuan, Jun Wu, and Shengjun Huang

Subjects
Acceleration, Engineering, Control theory, business.industry, Maglev, Train, Algorithm design, Filter (signal processing), Track (rail transport), business, Algorithm, Bogie, Simulation
Abstract

Maglev train is a new urban transportation tool. Track is considered as a component of maglev transportation system and it would directly affect the safety of train operation. An algorithm based on triple threshold filtering is put forward to conduct detection of maglev track, which can be used to filter abnormal points to judge the vertical suspected irregularity of track. In the scheme, the threshold settings for gap difference, current change rate and acceleration differences on suspended controller are set according to characteristics of low sampling rate, high data repeatability and large data volume of automobile data recorder, it can extract information of track irregularity. In order to improve the reliability of the algorithm, 20 sets of data from 5 independent bogies of two trains are clustered for analysis, and get the suspected area of vertical irregularity. The data of maglev train of Changsha operating railway was tested finally.

Published
2017

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