Modeling of drip velocity soft sensor in Chinese Materia Medica Pilule Manufacturing Process based on PCA-FUZZY hybrid modeling method

被引：0

作者：

Zhang Yufei ^{[1
]}

Tu Bengsheng ^{[1
]}

Shao Xiuli ^{[1
]}

机构：

[1] Nankai Univ, Coll Informat Tech Sci, Tianjin 300071, Peoples R China

来源：

Proceedings of the 24th Chinese Control Conference, Vols 1 and 2 | 2005年

关键词：

Chinese Materia Medica Pilule; drip velocity soft sensor; PCA; fuzzy modeling;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The drip velocity is an important quality variable in Chinese Materia Medica Pilule Manufacturing Process, but it is difficult to be obtained by physical sensor directly. Therefore Principal Component Analysis and Fuzzy Inference hybrid modeling method (PCA-FUZZY) is supposed for building drip velocity soft sensor model indirectly. The PCA-FUZZY method can get more information from input quality variables, so it can promote precision of model and remain simplicity of model. This paper introduces the principle of the PCA-FUZZY hybrid modeling method, constructs the Pilule velocity soft sensor model and compares the soft sensor model with other modeling method.

引用

页码：363 / 367

页数：5