Nonparametric density estimation of bubble size distribution for monitoring mineral flotation process

Author

Yang, Chunhua ; Xu, Canhui ; Gui, Weihua ; Du, Jianjiang

Author_Institution

Sch. of Inf. Sci. & Eng., Central South Univ., Changsha, China

fYear

2009

fDate

15-18 Dec. 2009

Firstpage

2941

Lastpage

2945

Abstract

The mineral separation efficiency of flotation process depends very much on the surface properties of feed ore and addition of chemical reagents. Machine vision based analysis of froth appearance is considered as an indication of flotation performance. Bubble structure obtained by watershed segmentation scheme is used to determine the amount of reagent. To explore bubble size distribution, nonparametric wavelet thresholding estimator is introduced to approximate the output Probability Density Function (PDF). With the aim of tracking the output PDFs to a target distribution shape, the output PDF model is therefore transformed into the dynamic weight coefficients model which allows a predicted reagent addition profile to be identified for controlling the flotation process.

Keywords

bubbles; computer vision; mineral processing industry; process monitoring; separation; bubble size distribution; chemical reagents; machine vision; mineral flotation process monitoring; mineral separation; nonparametric density estimation; probability density function; watershed segmentation; Chemical processes; Feeds; Machine vision; Minerals; Monitoring; Ores; Performance analysis; Predictive models; Probability density function; Shape control;

fLanguage

English

Publisher

ieee

Conference_Titel

Decision and Control, 2009 held jointly with the 2009 28th Chinese Control Conference. CDC/CCC 2009. Proceedings of the 48th IEEE Conference on

Conference_Location

Shanghai

ISSN

0191-2216

Print_ISBN

978-1-4244-3871-6

Electronic_ISBN

0191-2216

Type

conf

DOI

10.1109/CDC.2009.5399975

Filename

5399975