UNCERTAINTY REDUCTION IN MEASUREMENT SYSTEMS BY STATISTICAL PARAMETER DESIGN

Pasquale Arpaia, Nello Polese

Abstract

In measurement system design, uncertainty is usually reduced by a cost increase: more accurate components are selected and narrower variations to influence parameters are imposed. In this paper, an alternative cost-saving approach is proposed: suitable values of design parameters capable of minimizing the measurement uncertainty due both to component’s uncertainty and to influence parameters are identified without any loss in other metrological performances. With this aim, a general method based on statistical parameter design is proposed. The method effectiveness is highlighted by an experimental case study related to the design of a pass-band passive filter.

Keywords

uncertainty reduction, parameter design, optimization, experiment design, pass-band filter

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IMEKO-TC4-2001-147.pdf

DOI

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IMEKO TC

TC4 - Measurement of Electrical Quantities

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