Title :
A process simulator based on hybrid model of physical model and Just-In-Time model
Author :
Nakabayashi, Akio ; Nakaya, Makoto ; Ohtani, Tetsuya ; Chen, Dong ; Wang, Dong ; Li, Xinchun
Author_Institution :
Syst. & Control Res. Center, Yokogawa Electr. Corp., Musashino, Japan
Abstract :
This paper shows that a hybrid model of physical and statistical models with Kalman Filter as an online adaptation method cannot be applied over a wide operation range. The superiority of a hybrid model with Just-In-Time modeling is indicated through a case study of Methane-Steam Reforming process.
Keywords :
Kalman filters; just-in-time; statistical analysis; steam reforming; Kalman Filter; hybrid model; just-in-time modeling; methane steam reforming process; physical model; process simulator; statistical models; Adaptation model; Computational modeling; Data models; Inductors; Input variables; Kalman filters; Predictive models; Just-In-Time modeling; Kalman filter; physical model; plant simulator;
Conference_Titel :
SICE Annual Conference 2010, Proceedings of
Conference_Location :
Taipei
Print_ISBN :
978-1-4244-7642-8
