Data Driven Approach to Variable Selection and Design of Soft Sensors in Industry
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چکیده
This paper discusses the application of statistical techniques to identify soft sensor models between the process quality variables, whose online measurements are not available in real time, and the process variables measured in real time. The methodology is illustrated through the application of the Canonical Variate Analysis for building soft sensors to predict hydrocarbon compositions in the secondary extraction plant at Suncor.
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تاریخ انتشار 2005