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

IEEE Transactions on Industrial Informatics

Volumn 6, Issue 1, 2010, Pages 11-17

  Wang, David ^a   Liu, Jun ^a   Srinivasan, Rajagopalan ^a,b  

^a INSTITUTE OF CHEMICAL AND ENGINEERING SCIENCES   (Singapore)

^b NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

Author keywords

Outliers; Partial least squares; Quality prediction; Refining process; Soft sensor

Indexed keywords

DATA PREPROCESSING; DATA-DRIVEN; MANUFACTURING PROCESS; MODELING PROCESS; ONLINE PREDICTION; OPERATIONAL PERFORMANCE; OUTLIER DETECTION; PARTIAL LEAST SQUARES; PARTIAL LEAST-SQUARES REGRESSION; PETROCHEMICAL INDUSTRY; PROCESS DATA; PROCESS MEASUREMENTS; PRODUCT QUALITY; QUALITY PREDICTION; REAL TIME MEASUREMENTS; REFINING PROCESS; SOFT SENSORS;

CUSTOMER SATISFACTION; REFINING; SENSORS; TIME MEASUREMENT; TOTAL QUALITY MANAGEMENT;

QUALITY CONTROL;

EID: 76849103529     PISSN: 15513203     EISSN: None     Source Type: Journal    
DOI: 10.1109/TII.2009.2025124     Document Type: Article

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