Bo Wang
Shenyang Yuanda Simtek Co., Ltd.
Yang Ji
Shenyang Yuanda Simtek Co., Ltd.
Bohui Liu
Shenyang Yuanda Simtek Co., Ltd.
Feng Gao
Beijing Zongheng Electro-Mechanical Technology Development Co.
Weijun Yang
Beijing Zongheng Electro-Mechanical Technology Development Co.
Dunwen Gan
Beijing Zongheng Electro-Mechanical Technology Development Co.
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https://doi.org/10.3384/ecp2020174109Published in: Proceedings of Asian Modelica Conference 2020, Tokyo, Japan, October 08-09, 2020
Linköping Electronic Conference Proceedings 174:13, p. 109-117
Published: 2020-11-02
ISBN: 978-91-7929-775-6
ISSN: 1650-3686 (print), 1650-3740 (online)
The development of the Chinese high-speed railway has experienced considerable dynamics in recent years. Further development of the trains depends to a large extent on the optimization of the key subsystems and monitoring of reliability and safety. In this paper the sample identification based health monitoring method for fault diagnosis and health monitoring by use of a Modelica based model of the train system is addressed. In this study the proposed method solved the issue of generating enough fault samples for health monitoring and be validated by the train operation real time data. The paper demonstrates the applicability of the method and modeling concept by means of diagnosis and monitoring of the state of health of the braking system.
