Tsinghua University

Nuctech Company Limited

Beijing Jiaotong University

Hao Shi

Yaohong Liu

Chuanxiang Tang

Wei Jia

Jinsheng Liu

Wei Yin

Xinshui Yan

Jianjun Gao

Xiying Liu

Lei Guo

Yong Qin

Man Li

Lijie Li

Yanhui Wang

Limin Jia

Lifeng Bi

Shuai Lin

The present invention provides a pulse modulating power source, which comprises: a plurality of discharging modules connected in series during discharging; a plurality of triggers corresponding to said plurality of discharging modules, wherein each trigger provides a trigger signal to the corresponding discharging module to turn it on; a control logic module for controlling the trigger signals so as to turn on said plurality of discharging modules successively with a time delay; an output terminal for outputting a voltage.

Apparatus and method for controlling pulse output

The present invention provides a high voltage pulse modulating power source based on alternate group triggering, which comprises: a DC stabilized voltage source for supplying power to the high voltage pulse modulating power source; a plurality of solid-state switches; a plurality of triggers corresponding to said plurality of solid-state switches, wherein each trigger provides a trigger signal to its corresponding solid-state switch to turn on said corresponding solid-state switch, wherein said plurality of triggers are divided into at least two groups of triggers; a time sequence control module, which, at time t, controls said plurality of triggers to generate trigger signals so as to turn on said plurality of solid-state switches simultaneously, and at time t, controls one group of said at least two groups of triggers to generate trigger signals to turn on solid-state switches corresponding to this group of triggers, wherein time tand time tappear alternately.

Apparatus and method for voltage alternating pulse output

The invention discloses a complex network-based high speed train system safety evaluation method. The method includes steps as follows: (1) constructing a network model of a physical structure of a high speed train system, and constructing a functional attribute degree of a node based on the network model; (2) extracting a functional attribute degree, a failure rate and mean time between failures of a component as an input quantity, conducting an SVM training using LIBSVM software; (3) conducting a weighted kNN-SVM judgment: an unclassifiable sample point is judged so as to obtain a safety level of the high speed train system. For a high speed train system having a complicated physical structure and operation conditions, the method can evaluate the degree of influences on system safety when a state of a component in the system changes. The experimental result shows that the algorithm has high accuracy and good practicality.

Complex network-based high speed train system safety evaluation method

Growing community of inventors

Beijing, China

Hao Shi