Proceedings of the 2015 International Conference on Automation, Mechanical Control and Computational Engineering

Analysis of fuel particle size based on particle swarm fuzzy C- average clustering

Authors
Li Wan, Yongjun Ma, Jianmin Guo
Corresponding Author
Li Wan
Available Online April 2015.
DOI
https://doi.org/10.2991/amcce-15.2015.119How to use a DOI?
Keywords
Particles; The particle swarm fuzzy C - average clustering; Distribution; morphology
Abstract
Fuel particle size and distribution is the key to energy saving of blast furnace. The fuel particle size will have influence to the highest temperature of the sintered material layer. The paper describe a method of adhesive particle image segmentation using based on particle swarm optimization fuzzy C –means clustering. It can measure particle size of fuel using OPENCV image processing real-time. Some experimental results are given which show that the algorithm has the effective ability of searching global optimal solution. It has get very good effect on particle statistics.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2015 International Conference on Automation, Mechanical Control and Computational Engineering
Part of series
Advances in Intelligent Systems Research
Publication Date
April 2015
ISBN
978-94-62520-64-6
ISSN
1951-6851
DOI
https://doi.org/10.2991/amcce-15.2015.119How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Li Wan
AU  - Yongjun Ma
AU  - Jianmin Guo
PY  - 2015/04
DA  - 2015/04
TI  - Analysis of fuel particle size based on particle swarm fuzzy C- average clustering
BT  - 2015 International Conference on Automation, Mechanical Control and Computational Engineering
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/amcce-15.2015.119
DO  - https://doi.org/10.2991/amcce-15.2015.119
ID  - Wan2015/04
ER  -