Synthesis of T2 and Q statistics for process monitoring

Leung, Andrew Yee Tak

doi:10.1016/j.conengprac.2003.08.004

Synthesis of T2 and Q statistics for process monitoring

Author(s)

Leung, Andrew Yee Tak

Author(s)

Chen, Q.

Kruger, U.

Meronk, M.

Date Issued

2004

Publisher

Elsevier

Journal

Control Engineering Practice

Volume

12

Issue

6

Start page

745

End page

755

Abstract

In this work, a novel approach that synthesizes the T² and Q statistics for statistical process condition monitoring is introduced. The synthesis is based on the joint probability density function of the two statistics, which is estimated with kernel density estimation. This inherits the following benefits: (i) it can be more sensitive to detect abnormal process behaviour than the individual statistics and (ii) it reduces the number of monitoring charts to be observed. The utility of this new approach is demonstrated using two application studies that involve the simulation of a fluid catalytic cracking unit and recorded data from an industrial distillation unit.

URI

https://repository.sfu.edu.hk/handle/sfu/2715

DOI

10.1016/j.conengprac.2003.08.004

SFU Affiliated Publication

No

Availability at SFU Library

No database links found.