TY - JOUR
T1 - Online monitoring for industrial processes quality control using time varying parameter model
AU - Moghadam, R. Parvizi
AU - Shahraki, F.
AU - Sadeghi, J.
N1 - Publisher Copyright:
© 2018 Materials and Energy Research Center. All rights reserved.
PY - 2018/4
Y1 - 2018/4
N2 - A novel data-driven soft sensor is designed for online product quality prediction and control performance modification in industrial units. A combined approach of time variable parameter (TVP) model, dynamic auto regressive exogenous variable (DARX) algorithm, nonlinear correlation analysis and criterion-based elimination method is introduced in this work. The soft sensor performance validation is tested by data set of an industrial SRU. The comparative study indicated the result associated with more robust soft sensor and more appropriate performance index values compared to other methods for SRU soft sensor design in diverse achievements. Due to high prediction accuracy, the low complication of the model and also saving of time, this technique can be very noticeable in industrial processes control.
AB - A novel data-driven soft sensor is designed for online product quality prediction and control performance modification in industrial units. A combined approach of time variable parameter (TVP) model, dynamic auto regressive exogenous variable (DARX) algorithm, nonlinear correlation analysis and criterion-based elimination method is introduced in this work. The soft sensor performance validation is tested by data set of an industrial SRU. The comparative study indicated the result associated with more robust soft sensor and more appropriate performance index values compared to other methods for SRU soft sensor design in diverse achievements. Due to high prediction accuracy, the low complication of the model and also saving of time, this technique can be very noticeable in industrial processes control.
KW - Identification data-based modeling
KW - Quality estimation
KW - Soft sensor
KW - SRU
KW - Time varying parameter
UR - http://www.scopus.com/inward/record.url?scp=85047350271&partnerID=8YFLogxK
U2 - 10.5829/ije.2018.31.04a.02
DO - 10.5829/ije.2018.31.04a.02
M3 - Article
AN - SCOPUS:85047350271
SN - 1728-144X
VL - 31
SP - 524
EP - 532
JO - International Journal of Engineering, Transactions B: Applications
JF - International Journal of Engineering, Transactions B: Applications
IS - 4
ER -