Determination and optimization of spatial samples for distributed measurements.

Huo, Xiaoming (Georgia Institute of Technology, Atlanta, GA) ; Tran, Hy D. ; Shilling, Katherine Meghan ; Kim, Heeyong (Georgia Institute of Technology, Atlanta, GA)

关键词: EVALUATION;    OPTIMIZATION;    SAMPLING;    STANDARDIZATION;    MATHEMATICAL MODELS;    QUALITY ASSURANCE;    MEASURING INSTRUMENTS;    MEASURING METHODS;   

DOI  :  10.2172/993322
RP-ID  :  SAND2010-7333
PID  :  OSTI ID: 993322
Others  :  TRN: US201023%%359

美国|英语

来源: SciTech Connect

【 摘 要 】

There are no accepted standards for determining how many measurements to take during part inspection or where to take them, or for assessing confidence in the evaluation of acceptance based on these measurements. The goal of this work was to develop a standard method for determining the number of measurements, together with the spatial distribution of measurements and the associated risks for false acceptance and false rejection. Two paths have been taken to create a standard method for selecting sampling points. A wavelet-based model has been developed to select measurement points and to determine confidence in the measurement after the points are taken. An adaptive sampling strategy has been studied to determine implementation feasibility on commercial measurement equipment. Results using both real and simulated data are presented for each of the paths.