Development of Nonlinear Soft Sensor Methods Considering Process Dynamics
-
- KANEKO Hiromasa
- Department of Chemical System Engineering, The University of Tokyo
-
- FUNATSU Kimito
- Department of Chemical System Engineering, The University of Tokyo
Bibliographic Information
- Other Title
-
- プロセスの動特性を考慮した非線型ソフトセンサー手法の開発
- プロセス ノ ドウトクセイ オ コウリョ シタ ヒセンケイ ソフトセンサー シュホウ ノ カイハツ
Search this article
Abstract
Soft sensors have been widely used for process control in industrial plants to estimate difficult-to-measure process variables online. A genetic algorithm-based process variables and dynamics selection (GAVDS) method is one method used to select important process variables and optimal time-delays of each variable simultaneously. However, the GAVDS method cannot handle a nonlinear relationship between X and an objective variable y because linear regression is used as a modeling technique. We therefore proposed a region selection method based on GAVDSand support vector regression (SVR), which is a nonlinear regression method. The proposed method is named GAVDS-SVR. We applied GAVDS-SVR to simulation data having high correlation between close pairs of X-variables and a nonlinear relationship between X and y. The GAVDS-SVR method could select regions of X-variables appropriately by considering the nonlinearity and could construct predictive models with high accuracy. Through soft-sensor analysis of industrial polymer process data, we confirmed that predictive, easy-to-interpret, and appropriate models were constructed using the proposed method.
Journal
-
- Transactions of the Society of Instrument and Control Engineers
-
Transactions of the Society of Instrument and Control Engineers 49 (2), 206-213, 2013
The Society of Instrument and Control Engineers
- Tweet
Details 詳細情報について
-
- CRID
- 1390001204504322432
-
- NII Article ID
- 10031154988
-
- NII Book ID
- AN00072392
-
- ISSN
- 18838189
- 04534654
-
- NDL BIB ID
- 024320790
-
- Text Lang
- en
-
- Data Source
-
- JaLC
- NDL
- Crossref
- CiNii Articles
-
- Abstract License Flag
- Disallowed