Analysis of fuel particle size based on particle swarm fuzzy C- average clustering
Li Wan, Yongjun Ma, Jianmin Guo
Available Online April 2015.
- https://doi.org/10.2991/amcce-15.2015.119How to use a DOI?
- Particles; The particle swarm fuzzy C - average clustering; Distribution; morphology
- 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.
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 -