DATA RECONCILIATION AND THE SINGULAR VALUE DECOMPOSITION

Christos L. Mitsas

Abstract

The steady state data reconciliation problem is approached via a geometrical picture of its model and measurement abstract spaces. By completely utilizing the structure of the problem constraint matrix, via its singular value decomposition (SVD), data adjustment is accomplished and redundancy and observability conditions are formulated. As an example, the method is applied to a small network of liquid flowmeters in order to ascertain the reliability of the measurement results.

Keywords

data reconciliation, SVD

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IMEKO-WC-2009-TC21-649.pdf

DOI

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IMEKO TC

TC21 - Mathematical Tools for Measurements

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