Presentation 2004-10-22
Improvement of Prediction Method of Normal States of the Dynamic Process Using the Database Model
Toshiharu MORISHITA, Kazuhiro TAKEDA, Yoshifumi TSUGE,
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Abstract(in English) In order to predict the normal states of a continuous process with load fluctuations, a nonlinear modeling technique using historical data during normal operations has been proposed. This technique is called DB (database) modeling because historical data during normal operations are accumulated in the database and are used directly for the predictions. The prediction procedure using the DB model is quite simple; it simply searches for similar records to the inputs to the DB model and averages the outputs from the DB model. In advance, it is only necessary to calculate the distances between the records accumulated in the database in order to determine the reference distance used for searching for similar records to the model inputs.
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Keyword(in English) Database / Nonlinear System / Modeling / Historical Data / Load Fluctuation
Paper # R2004-35
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Committee R
Conference Date 2004/10/15(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Improvement of Prediction Method of Normal States of the Dynamic Process Using the Database Model
Sub Title (in English)
Keyword(1) Database
Keyword(2) Nonlinear System
Keyword(3) Modeling
Keyword(4) Historical Data
Keyword(5) Load Fluctuation
1st Author's Name Toshiharu MORISHITA
1st Author's Affiliation Department of Chemical engineering, Faculty of Engineering, Kyushu University()
2nd Author's Name Kazuhiro TAKEDA
2nd Author's Affiliation Department of Chemical engineering, Faculty of Engineering, Kyushu University
3rd Author's Name Yoshifumi TSUGE
3rd Author's Affiliation Department of Chemical engineering, Faculty of Engineering, Kyushu University
Date 2004-10-22
Paper # R2004-35
Volume (vol) vol.104
Number (no) 371
Page pp.pp.-
#Pages 5
Date of Issue