Standardized Q-statistic for improved sensitivity in the monitoring of residuals in MSPC

This paper presents the standardized Q‐statistic for monitoring residuals of latent variable models in multivariate statistical process control (MSPC). Before the summation of the squared residuals, they are scaled according to their expected variation obtained from normal operating conditions (NOC)...

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Bibliographic Details
Published in:Journal of chemometrics 2000-07, Vol.14 (4), p.335-349
Main Authors: Westerhuis, Johan A., Gurden, Stephen P., Smilde, Age K.
Format: Article
Language:English
Subjects:
Chemistry
Exact sciences and technology
fault detection
General and physical chemistry
General. Nomenclature, chemical documentation, computer chemistry
process monitoring
Q-statistic
Theory of reactions, general kinetics. Catalysis. Nomenclature, chemical documentation, computer chemistry
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Summary:This paper presents the standardized Q‐statistic for monitoring residuals of latent variable models in multivariate statistical process control (MSPC). Before the summation of the squared residuals, they are scaled according to their expected variation obtained from normal operating conditions (NOC) data. Data from a simulated batch process and from an industrial batch process are used to show that this scaling improves the sensitivity of the Q‐statistic considerably. The standardized Q‐statistic is introduced for the off‐line monitoring of batch processes, but it can also be used for the monitoring of continuous processes as well as for the on‐line monitoring of batch processes. Copyright © 2000 John Wiley & Sons, Ltd.
ISSN:0886-9383
1099-128X
DOI:10.1002/1099-128X(200007/08)14:4<335::AID-CEM579>3.0.CO;2-F