Title :
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
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;
Conference_Titel :
Knowledge Acquisition and Modeling (KAM), 2010 3rd International Symposium on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-8004-3
DOI :
10.1109/KAM.2010.5646247
