October 2020

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Automation: Significant improvement of soft sensor estimation by automation in bias correction

The main objective of any industry is to operate as close as possible to the point where profits are maximized.

The main objective of any industry is to operate as close as possible to the point where profits are maximized. This means that there should be no off-spec product and the lowest degree of product quality give-away should be achieved. The difficulties in rapidly measuring certain types of process variables and the cost of analyzers have encouraged the use of soft sensors in process plants (FIG. 1). However, the reliability of the predictions by the soft sensor model itself is a major concern in the process control domain. Laboratory data bias updating is a widespread adaptive procedure to allow soft sensor inference models to pursue time variant features of a real-world process.

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