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- W3023738553 abstract "In practice, it is not always possible that the theoretical pre-requisites for statistical identification be fulfilled. Consequently, the data collected is non-ideal, in the statistical sense, for identification . It is well known that the identification results from using such data may be misleading.In this paper, we discuss the practical problems involving the statistical modeling of a boiler system for a electric power plant using real plant data, and develop a methodology that yields good results in pratical identification when the sample data used is non-ideal in the statistical sense. Simulation methods together with statistical tools, including a series of statistical tests, that are used to validate the model are discussed in the paper. Results of the modeling will be presented." @default.
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- W3023738553 date "1989-01-01" @default.
- W3023738553 modified "2023-10-16" @default.
- W3023738553 title "PRACTICAL ASPECTS OF MULTIVARIABLE STATISTICAL MODELING OF A BOILER SYSTEM FOR AN ELECTRIC POWER GENERATING UNIT" @default.
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- W3023738553 doi "https://doi.org/10.1016/b978-0-08-036135-2.50036-3" @default.
- W3023738553 hasPublicationYear "1989" @default.
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