Data-driven soft sensor approach for quality prediction in a refinery process

2006 IEEE International Conference on Industrial Informatics, INDIN'06

Volumn , Issue , 2006, Pages 230-235

  Wang, D ^a   Srinivasan, R ^a,b   Liu, J ^a   Guru, P N S ^c   Leong, K M ^c  

^a INSTITUTE OF CHEMICAL AND ENGINEERING SCIENCES   (Singapore)

^b NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^c Singapore Refining Company   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

DATA PROCESSING; PROCESS ENGINEERING; QUALITY CONTROL; REGRESSION ANALYSIS; SENSORS;

PARTIAL LEAST SQUARES (PLS) REGRESSION; PRODUCT QUALITY;

PETROLEUM REFINERIES;

EID: 38949159156     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/INDIN.2006.275785     Document Type: Conference Paper

References (3)

1. Greg Martin, Gary Barber. Zak Friedman and Ed Bullerdiek, "Refining and petrochemical property predictions for distillation, fractionation and crude switch," 2000 Compute Conference, Nov 13-15. 2000 Chicago, Illinois, USA.
2. Nunzio Bonavita and Ted Matsko, "Neural network technology applied to refinery inferential analyzer problems," Hydrocarbon Engineering, December 1999
3. H. Wold, "Partial least squares", Encyclopedia of statistical sciences, Wiley, New York, 1985, vol.6.