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

Tie-jun Zhang, Duo Chen, T. Sun
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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.
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图像序列分析在铁粉烧结质量预测中的应用
本文从信息学的角度,对表达工况信息的图像序列进行了研究。通过时间序列分析对图像序列进行特征序列提取,进一步对图像序列进行时间序列分析,从而实现质量特征的预测,满足复杂工业生产过程的质量预测和生产优化。研究结果表明,该技术思路为复杂工业生产过程的控制和优化提供了一条新途径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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