丙烯聚合健康监控系统最优化生产过程研究

The Health Monitoring System of Propylene Polymerization in the Optimization Process

建立一个基于PCA-CGA-RBF的径向基函数网络模型,从过程变量中预测产品的熔融指数(MI)。实现了对丙烯聚合生产过程的单变量健康监控,对丙烯聚合生产过程的当前健康程度可做出实时在线的评估,并给出操作建议,使得丙烯聚合生产过程更加安全、平稳、高效。

A neural networks model based on PCA--CGA--RBF was proposed to infer the MI of manufactured products from real process variables. A health monitoring system with a single variable control based on this model is achieved to make realtime online health assessment and give operation recommendations to make the propylene polymerization process more secure, stable and efficient.