Monitoring a complex refining process using multivariate statistics

Author:

AlGhazzawi Ashraf,Lennox Barry

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Science Applications,Control and Systems Engineering

Reference30 articles.

1. To projection methods for use in the analysis of multivariate process data with an illustration in petrochemical production;Badcock;Technometrics,2005

2. Softwood lumber grading through on-line multivariable image analysis;Bharati;Industrial and Engineering Chemistry Research,2003

3. Fault detection and diagnosis in industrial systems;Chiang,2002

4. Application of feedforward neural networks and partial least squares regression for modelling Kappa number in a continuous Kamyr digester;Dayal;Pulp & Paper Canada,2004

5. Multi- and megavariate data analysis;Eriksson,2005

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