A multi-sensor fusion framework for detecting small amplitude hunting of high-speed trains

Ning, Jing, Liu, Qi, Ouyang, Huajiang ORCID: 0000-0003-0312-0326, Chen, Chunjun and Zhang, Bing (2018) A multi-sensor fusion framework for detecting small amplitude hunting of high-speed trains. JOURNAL OF VIBRATION AND CONTROL, 24 (17). pp. 3797-3808.

Text
20180523宁静英文论文-小修-提交版.docx - Author Accepted Manuscript
Download (16MB)

Official URL: http://dx.doi.org/10.1177/1077546318787945

Abstract

<jats:p>Hunting monitoring is very important for high-speed trains to achieve safe operation. But all the monitoring systems are designed to detect hunting only after hunting has developed sufficiently. Under these circumstances, some damage may be caused to the railway track and train wheels. The work reported in this paper aims to solve the detection problem of small amplitude hunting before the lateral instability of high-speed trains occurs. But the information from a single sensor can only reflect the local operation state of a train. So, to improve the accuracy and robustness of the monitoring system, a multi-sensor fusion framework for detecting small amplitude hunting of high-speed trains based on an improved Dempster–Shafer (DS) theory is proposed. The framework consists of a series of steps. Firstly, the method of combining empirical mode decomposition and sample entropy is used to extract features of each operation condition. Secondly, the posterior probability support vector machine is used to get the basic probability assignment. Finally, the DS theory improved by the authors is proposed to get a more accurate detection result. This framework developed by the authors is used on high-speed trains with success and experimental findings are provided. This multi-sensor fusion framework can also be used in other condition monitoring systems on high-speed trains, such as the gearbox monitoring system, from which nonstationary signals are acquired too.</jats:p>

Item Type:	Article
Uncontrolled Keywords:	High-speed train, small amplitude hunting, empirical mode decomposition, improved Dempster-Shafer theory, multi-sensor fusion
Depositing User:	Symplectic Admin
Date Deposited:	16 Aug 2018 06:24
Last Modified:	19 Jan 2023 01:28
DOI:	10.1177/1077546318787945
Related URLs:	Author Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3025088