Application of Image Sequence Analysis in Forecasting Sintering Quality of Iron Powder

摘要：

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.

关键词： Image sequence analysis feature extraction quality forecast

作者: ZHANG Tie-jun CHEN Duo SUN Tie

作者单位: Department of Computer Science and Technology Tangshan College Tangshan, Hebei Province, China School of Information Engineering University of Science and Technology Beijing Beijing, China

会议类型: 国际会议

会议名称: 2010 Third International Symposium on Knowledge Acquisition and Modeling(第三届知识获取与建模国际研讨会 KAN 2010)

会议地点: 武汉

会议语种:英文

页码: 236-238

在线出版日期: 2010-10-20（万方平台首次上网日期，不代表论文的发表时间）