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A measurement selection procedure [5] is used to select the validated measurements ({boldsymbol {z}_{k,i}^{b}}) for each backward track.
A measurement selection procedure [5] is used to select the validated backward track predictions to ensure that the forward track prediction and the backward track prediction are properly matched.
The first step designs subsystem models through measurement selection.
The importance of model identifiability tests for optimal measurement selection is also considered.
Therefore, it is applicable in practice to determine the measurement selection prior to field testing and damage identification analysis.
A measurement selection algorithm identifies frequencies that best discriminate the different aerodynamic environments in low-rank POD feature space.
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It can be done through a fault detectability index (FDI) which drives to the optimal measurements selection for building a proper monitoring system.
Using the fundamental information inferred from local velocity field and heat transfer measurements, selection criteria can be determined for both low and high power practical applications where space restrictions exist.
The validation measurements selection criterion is given by {boldsymbol{Delta}_{i}^{k+1+}}^{T}{boldsymbol{S}_{k+1+}^{-1}}{boldsymbol{Delta}_{i}^{k+1+}}leq g (14).
The possible limitations of our study are: (1) because of the study design (retrospective cross-sectional study) we had no influence on data collection (missing data), and (2) not routinely performed DEXA measurements (selection bias).
Thus the measurement set selection and the sampling profile can be determined simultaneously.
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