Abstract
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.
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