ISSN:
0001-1541
Keywords:
Chemistry
;
Chemical Engineering
Source:
Wiley InterScience Backfile Collection 1832-2000
Topics:
Chemistry and Pharmacology
,
Process Engineering, Biotechnology, Nutrition Technology
Notes:
A statistical procedure for determining whether process variables have undergone a change of steady states is developed by using a composite 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.
Additional Material:
12 Ill.
Type of Medium:
Electronic Resource
URL:
http://dx.doi.org/10.1002/aic.690320902
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