Evaluation of PCA methods with improved fault isolation capabilities on a paper machine simulator

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openAccess

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Journal Title

Journal ISSN

Volume Title

A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä

Date

2008

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Mcode

Degree programme

Language

en

Pages

186-199

Series

CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, Volume 92, issue 2

Abstract

The work presented in this paper addresses the issues of fault detection and isolation properties of the partial PCA method and the isolation-enhanced PCA method. In order to increase the sensitivity of the residuals with respect to various faults, the structured residuals generated from both partial PCA and isolation-enhanced PCA are optimized. For the residual evaluation, the bootstrap technique is combined with the CUSUM method to achieve fast and robust detection. Three sensor faults and three actuator faults were studied using simulations employing a rigorous, first principles based, paper machine simulator. All the faults were correctly detected and isolated with both studied methods, and the results are compared with the classical T2 and SPE contribution plot methods.

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Keywords

PCA, Fault detection, Fault isolation, Paper machine simulator, PCA, fault detection, fault isolation, paper machine simulator

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Citation

Cheng, H, Nikus, M & Jämsä-Jounela, S-L 2008, ' Evaluation of PCA methods with improved fault isolation capabilities on a paper machine simulator ', Chemometrics and Intelligent Laboratory Systems, vol. 92, no. 2, pp. 186-199 .