Title :
Product moisture real-time monitoring based on soft-sensing technique
Author :
Su Yuelong ; Yu Fengqin ; Zhou Jian ; Zhang Qingxin
Author_Institution :
Center of Excellent (CoE), China Nat. Bluestar (Group) Co. Ltd., Beijing, China
Abstract :
It is not always feasible to monitor key quality specifications in real time through hardware sensors due to measurement device or process limitation in chemical industry. The final product quality analysis by the lab generally needs much longer time that is hard to be utilized for real-time quality control purpose. In this paper, four steps for building a soft-sensing model by means of Minitab TM are illustrated in detail, including requirement analysis, data collection, data pre-processing and model building. An application of the soft-sensing technique is also discussed in detail.
Keywords :
chemical industry; production engineering computing; quality control; sensors; Minitab TM; chemical industry; data collection; data preprocessing; final product quality analysis; hardware sensors; key quality specification monitoring; measurement device; model building; process limitation; product moisture real-time monitoring; quality control; requirement analysis; soft-sensing technique; Analytical models; Computational modeling; Data models; Mathematical model; Moisture; Rubber; Sensors; Soft sensor; cross-correlation analysis; online monitoring; principle component analysis; stepwise regression;
Conference_Titel :
Information and Automation (ICIA), 2014 IEEE International Conference on
Conference_Location :
Hailar
DOI :
10.1109/ICInfA.2014.6932725
