In this paper, the problem of model selection for measurement purpose is studied. A new selection procedure in a deterministic framework is proposed. The problem of nonlinear bounded-error estimation is viewed as a set inversion procedure. As each candidate model structure leads to a specific set of admissible values of the measurement vector, the worst-case criterion is used to select the optimal model. The selection procedure is applied to a real measurement problem, grooves dimensioning using remote field eddy current inspection
Published in:
Instrumentation and Measurement, IEEE Transactions on
(Volume:49
,
Issue:
3
)
Date of Publication: Jun 2000