Design considerations for sensing systems to ensure data quality

Abstract

This paper discusses issues in designing sensing systems in order to control the various mechanisms of uncertainty that impair meaningful and reliable interpretation of data. Based on the analysis of possible errors of the sensory components, measurement setups and data acquisition elements, a paradigm of designing sensing systems is proposed, which centers at structural health monitoring and permeates the modeling, experiment, data collection, parameter estimation, model verification and correction, simulation and utilization procedures. The statistical data quality control process is further discussed focusing on the data processing and post-processing in the sensing system. © 2005 Springer.