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A composite statistical Test for detecting changes of Steady States A statistical procedure for determining whether process variables have undergone a change of steady states is developed by using a com- posite statistical test. Factors influencing the power of the test and the probability of Type I errors were studied through theoretical analysis, computer simulation, and application to plant data. They include the number of variables to be tested together, the number of measurements used in time averaging, the levels of significance of the tests , and the appropriate formulation of the hypotheses. The procedure developed here is useful in process data reconciliation and in applications that require an analysis of process trends. S. Narasimhan, R. S. H. Mah, and A. C. Tamhane Northwestern University Evanston, IL 60201 J. W. Woodward, J. C. Hale E. I. du Pont de Nemours and Company Engineering Department Wilrnington, DE 19898 Introduction Steady state is one of the most important and common assumptions made about a process.
A Composite Statistical Test for Detecting Changes of Steady States A statistical procedure for determining whether process variables have undergone a change of steady states is developed by using a com- posite statistical test. Factors influencing the power of the test and the probability of Type I errors were studied through theoretical analysis,
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