Adaptive Statistical Process Monitoring of Rubber Mixing Process

摘要：

A novel method utilizes the improved RPLS (Recursive Partial Least Squares) algorithm to update monitoring model on-line to improve the time-variant performance of the Statistical Process Monitoring (SPM) systems is proposed. This new method shows strong tracking power and can compensate the shortage of traditional fixed Q α. The theoretical findings are fully supported by the application performed on the rubber mixing process in a large-scale tire plant located at east China. It is shown the compounds quality is improved remarkably while the false alarm frequency is reduced significantly. An adaptive monitoring scheme is proposed

关键词： Process Control Multivariate statistics Fault Diagnosis Rubber Mixing Process

作者: Kai SONG Xia LI Gang CHEN

作者单位: School of Chemical Engineering and Technology Tianjin University,Tianjin 300072,China

会议类型: 国际会议

会议名称: 工业工程与系统管理2007年国际会议(International Conference on Industrial Engineering and Systems Management)(IESM 2007)

会议地点: 北京

会议语种:英文

在线出版日期: 2007-05-30（万方平台首次上网日期，不代表论文的发表时间）