DIGITAL FILTERING FOR DYNAMIC UNCERTAINTY

Evaluation of measurement uncertainty is essential for all kinds of calibration procedures. The widely accepted approach may directly be applied in static or stationary measurements but gives little support for transient conditions. To remedy this situation, the sensitivities to the uncertainty of input variables which are normally constant, are here generalized to be time-dependent and derived by means of digital filtering. Arbitrarily varying measurands are allowed but the system must be linear and time-invariant. The approach is illustrated for a common accelerometer system.