The Optimized Design of Aerosol Mass Measurement System based on Information Entropy

DOI

10.2991/icmmita-15.2015.161How to use a DOI?

Keywords

mass measurement; information entropy; channel division; optimization

Abstract

In this paper, the relationship between the signal amplitude counting distribution’s information entropy and the channel division is analyzed firstly. According to the character of information entropy, when the channel number is given, if the channel division way is equip-probability division, then the maximum of information entropy occurs, the mass distribution information should be also the biggest. Besides, the more the channel number is divided, the bigger the information entropy. Based on these, the signal amplitude counting distribution is divided by three ways to analysis and calculation, which are equip-probability division, uniform division, geometric proportion division. The experimental results show that the aerosol mass measurement system with the equip-probability division has the highest accuracy and good stability, which matches with the theoretical analysis. This study provides a theoretical guidance for the circuit design of aerosol mass measurement system.

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/).

Download article (PDF)

TY  - CONF
AU  - Juan Yang
PY  - 2015/11
DA  - 2015/11
TI  - The Optimized Design of Aerosol Mass Measurement System based on Information Entropy
BT  - Proceedings of the 2015 3rd International Conference on Machinery, Materials and Information Technology Applications
PB  - Atlantis Press
SP  - 873
EP  - 878
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmmita-15.2015.161
DO  - 10.2991/icmmita-15.2015.161
ID  - Yang2015/11
ER  -