Robustness of multidimensional calibrations: application to spectral data

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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

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Overview

ABSTRACT

The calibration of devices providing continuous signals, such as spectra, poses particular problems of robustness. A sound understanding of this aspect is therefore necessary and this approach is based on a hierarchical questioning of the significance of the influence quantity, controllability and measurability. In the case of an influential variable, uncontrollable and yet measurable, it can be corrected by modifying the measured signal, or the model; its output can also be corrected. In the worst case, where the variable is influential, but neither controllable nor measurable, methods in order to improve the robustness of calibrations are necessary.

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AUTHOR

  • Jean-Michel ROGER : Chief engineer of rural engineering, water and forests - Researcher

 INTRODUCTION

The use of measuring devices delivering complex signals, such as spectrometers or chromatographs, requires a calibration phase, the robustness of which can be problematic. This article examines this issue, first by explaining the problem of robustness, then by proposing solutions for improvement. Practical examples illustrate the various concepts and methods discussed.

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