Research on maintenance decision of rail transit signal power supply system

Author(s):  
Jingyi Zhao ◽  
Chunhai Gao ◽  
Yingang Yu ◽  
Xiao Xiao ◽  
Ming Luo ◽  
...  
Author(s):  
Yu Zhang ◽  
Zhaoyang Zhang ◽  
Li'en Xu ◽  
Ting Ying ◽  
Jianghong Li ◽  
...  

Abstract In order to study the interaction among the traction power supply, the train group and the operation dispatching of urban rail transit, a coupling simulation system of power supply system, trains and dispatching management is constructed. In order to solve the problems of different timescales and difficult cooperation operation for related subsystems, a multi-bus distributed real-time network architecture based on hierarchical management of communication data is established, and simulation management software is developed to facilitate the free expansion of the simulation system. Meanwhile, the track line, train operation and other large timescale subsystems are realized by the pure digital simulation. And the time-sensitive subsystems, such as train traction system, braking system, auxiliary power supply system and network system etc., are built by the semi-physical simulation. In this article, the system structure and the main implementation principle of each simulation subsystem are given in detail, and the system is tested and verified at the end. The results show that the simulation system can meet the expected requirements.


2017 ◽  
Vol 2017 ◽  
pp. 1-11
Author(s):  
Lei Wang ◽  
Lijun Diao ◽  
Ruichang Qiu ◽  
Chunmei Xu ◽  
Peizhen Wang

In the power supply of urban rail transit system, electrolytic capacitors are used in large numbers. They suffer from inevitable ripple currents; such ripple currents generate heat dissipation, which shortens their service life seriously. To increase the reliability of the whole power supply system, the aging process of electrolytic capacitors must be evaluated, so that their service life could be predicted and measures could be taken in advance before their failures. When they are applied into the power supply system, the accuracy of conventional approaches is somewhat lowered, owing to the existence of unpredictable ripple current and ambient temperature variations. In this paper, we build an analytical ripple model to offer online aging monitoring of electrolytic capacitors. After that, a GM(2,1) model is adopted to predict service life with higher accuracy than conventional approaches.


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