Application of EMD in Signal Processing of Track State Detection

DOI

10.2991/icmii-15.2015.176How to use a DOI?

Keywords

Track state; Noise; Filtering; EMD; Continuous mean square error criterion

Abstract

In this paper, a filtering method based on empirical mode decomposition (EMD) is proposed for the accuracy of measurement, which is regularly influenced by the noise in the output signal of inertial measurement unit in the track state detecting process, the multi-scale filtering characteristics are analyzed at the same time. The Cut-off point K is determined between the modes dominated by noise and signal in the IMF component using continuous mean square error criterion, so as to realize the purpose of filtering. The algorithm performance is verified through the simulation signal. The validation based on the collected railway line acceleration data shows that the noise in railway line state acceleration detection signals can be effectively eliminated through the EMD de-noising algorithm method using continuous mean square error criterion.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Wenfa Zhu
AU  - Huizhen Ma
PY  - 2015/10
DA  - 2015/10
TI  - Application of EMD in Signal Processing of Track State Detection
BT  - Proceedings of the 3rd International Conference on Mechatronics and Industrial Informatics
PB  - Atlantis Press
SP  - 1000
EP  - 1005
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmii-15.2015.176
DO  - 10.2991/icmii-15.2015.176
ID  - Zhu2015/10
ER  -