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/).
Cite this article
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 -