Conclusion
Robustness of multidimensional calibrations: application to spectral data
Article REF: SL265 V1
Conclusion
Robustness of multidimensional calibrations: application to spectral data

Author : Jean-Michel ROGER

Publication date: December 10, 2010, Review date: September 24, 2018 | Lire en français

Logo Techniques de l'Ingenieur You do not have access to this resource.
Request your free trial access! Free trial

Already subscribed?

3. Conclusion

In this article, we have seen that the robustness of calibrations takes on a particular character in the highly multivariate case of continuous signals, such as spectra. The very large size of the measurement space leaves considerable scope for the expression of influence quantities, if no precautions are taken. The strategy for dealing with this problem depends on the controllability and measurability properties of the influence variable.

In cases where the value of the influence variable is available at the time the calibration model is used, three methods have been described: a priori correction, which consists in modifying the measurement to match the calibration conditions; model correction, which consists in adapting the model to the new conditions; a posteriori correction, which consists in correcting the model outputs.

When the value...

You do not have access to this resource.
Logo Techniques de l'Ingenieur

Exclusive to subscribers. 97% yet to be discovered!

You do not have access to this resource. Click here to request your free trial access!

Already subscribed?


Article included in this offer

"Laboratory quality and safety procedures"

( 140 articles )

Complete knowledge base

Updated and enriched with articles validated by our scientific committees

Services

A set of exclusive tools to complement the resources

View offer details