Title :
Soft Sensing Modeling Based on Stacked Least Square-Support Vector Machine and Its Application
Author :
Chang, Yuqing ; Lv, Zhe ; Wang, Fuli ; Mao, Zhizhong ; Wang, Xiaogang
Author_Institution :
Sch. of Inf. Sci. & Eng., Northeastern Univ., Shenyang
Abstract :
The robust soft sensing model based on stacked least square - support vector machine is presented. Data for building nonlinear models is re-sampled using principle components analysis techniques to form a number of sets of training and test data. For each data set, a support vector machine model is developed and the developed models are then combined with different weigh factors. Model robustness is shown to be significantly improved as a direct consequence of using simple support vector machine representations. An improved algorithm for data sorting is also presented which deals with the problem of the stage division for the process. Based on the different contribution of the principal components, a new data set is formed of principal components by weighted them using contribution factors. The proposed soft sensing method has been applied to a penicillin fermentation process to estimate the product concentration, and the results of testing are listed
Keywords :
fermentation; least squares approximations; nonlinear control systems; principal component analysis; process control; robust control; sorting; support vector machines; classification; data sorting; nonlinear models; penicillin fermentation process; principle components analysis; product concentration; robustness; soft sensing modeling; sparseness; stacked least square-support vector machine; Artificial neural networks; Chemical sensors; Least squares methods; Predictive models; Principal component analysis; Robustness; Sorting; Support vector machines; Testing; Training data; Soft sensor; classification; fermentation; multi lease square-support vector machine; sparseness;
Conference_Titel :
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location :
Dalian
Print_ISBN :
1-4244-0332-4
DOI :
10.1109/WCICA.2006.1713305