Application of image sequence analysis in forecasting sintering quality of iron powder

Author

Zhang, Tie-Jun ; Chen, Duo ; Sun, Tie

Author_Institution

Dept. of Comput. Sci. & Technol., Tangshan Coll., Tangshan, China

fYear

2010

fDate

20-21 Oct. 2010

Firstpage

236

Lastpage

238

Abstract

From an angle of information science, this paper researches on image sequence which express the working condition information. By means of time sequence analysis the feature sequence extraction is done, further time sequence analysis of image sequence is achieved, whereby the forecasting of quality characteristic can be realized to meet quality prediction of complex industrial production process and production optimization. The research results show that this technical idea is a new way to control and optimize the complex industrial production process.

Keywords

feature extraction; image sequences; iron; optimisation; powder metallurgy; production engineering computing; quality control; sintering; complex industrial production process; feature sequence extraction; image sequence analysis; iron powder; production optimization; sintering quality forecasting; time sequence analysis; working condition information; Analytical models; Gray-scale; Predictive models; Sun; Image sequence; analysis; feature extraction; quality forecast;

fLanguage

English

Publisher

ieee

Conference_Titel

Knowledge Acquisition and Modeling (KAM), 2010 3rd International Symposium on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-8004-3

Type

conf

DOI

10.1109/KAM.2010.5646247

Filename

5646247