Improved EMD Method for the Separation of Systematic Errors

DOI

10.2991/meic-14.2014.112How to use a DOI?

Keywords

Empirical Mode Decomposition;systematic error separation; degree of waveform similarity; end effect; cumulative percent variance

Abstract

Traditional error separation methods could not tackle systematic error with complicated transformation law in measuring system very well, so that we present an improved Empirical Mode Decomposition (EMD). The end effect existed in the course of EMD decomposition, endpoints continuation based on the degree of waveform similarity was applied to restrain the end effect. As to EMD decomposition termination criterions, it was difficult for EMD method to determine appropriate termination criterions, cumulative percent variance was introduced to determine two decomposition termination criterions. Given superposition of multiple types of systematic errors, the result of simulation example shows that the proposed method exceeds others, as its error is the least. Finally, the example including dynamic goniometer error data implies that EMD brings a good effect on the separation.

Copyright

© 2014, 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  - Zhiheng Zhou
AU  - Jianjun Zhao
AU  - Gang Yao
AU  - Libin Yang
PY  - 2014/11
DA  - 2014/11
TI  - Improved EMD Method for the Separation of Systematic Errors
BT  - Proceedings of the 2014 International Conference on Mechatronics, Electronic, Industrial and Control Engineering
PB  - Atlantis Press
SP  - 496
EP  - 501
SN  - 2352-5401
UR  - https://doi.org/10.2991/meic-14.2014.112
DO  - 10.2991/meic-14.2014.112
ID  - Zhou2014/11
ER  -