Comparison of the linear and non linear methods for the evaluation of measurement uncertainty

被引:0
作者
Martins M.A.F. [1 ]
Kalid R.A. [1 ]
Nery G.A. [2 ]
Teixeira L.A. [2 ]
Gonçalves G.A.A. [2 ]
机构
[1] Universidade Federal da Bahia, Escola Politécnica, Programa de Pós-Graduação em Engenharia Industrial, Salvador
[2] Universidade Federal da Bahia, Escola Politécnica, Colegiado do Curso de Engenharia Química, Salvador
来源
Controle y Automacao | 2010年 / 21卷 / 06期
关键词
Measurement uncertainty; Monte Carlo method; Non linear models; Propagation of probability density functions; Propagation of uncertainties;
D O I
10.1590/s0103-17592010000600002
中图分类号
学科分类号
摘要
The main method recognized by the metrologists for the evaluation of measurement uncertainty is de facto the Guide to the Expression of Uncertainty in Measurement (ISO Guide). Due to some limitations of the proposed method by ISO Guide however, ISO has developed a supplementary method for evaluating the measurement uncertainty based on the propagation of probability density functions using the Monte Carlo method (ISO-S1). The present paper discusses these methods for the quantification of measurement uncertainty. We review the literature, in particular the main papers presenting these modern approaches. We also discuss the merits and the limitations of the ISO Guide and ISO-S1 approaches. Furthermore, a comparative study between these two methods was carried out in two case studies. The obtained results show that it is necessary to evaluate the influence of the degree of non linearity in order to estimate the measurement uncertainty before either method is chosen.
引用
收藏
页码:557 / 576
页数:19
相关论文
共 50 条
  • [41] Comparison of ISO-GUM and Monte Carlo Method for Evaluation of Measurement Uncertainty
    Ha, Young-Cheol
    Her, Jae-Young
    Lee, Seung-Jun
    Lee, Kang-Jin
    TRANSACTIONS OF THE KOREAN SOCIETY OF MECHANICAL ENGINEERS B, 2014, 38 (07) : 647 - 656
  • [42] Method of comparison of models non-linear regression in bananas trees
    Maia, Emanuel
    de Siqueira, Dalmo Lopes
    Fonseca e Silva, Fabyano
    Peternelli, Luiz Alexandre
    Chamhum Salomao, Luiz Carlos
    CIENCIA RURAL, 2009, 39 (05): : 1380 - 1386
  • [43] A comparison in the evaluation of measurement uncertainty in analytical chemistry testing between the use of quality control data and a regression analysis
    João A. Sousa
    Alexandra M. Reynolds
    Álvaro S. Ribeiro
    Accreditation and Quality Assurance, 2012, 17 : 207 - 214
  • [44] A Comparison of Uncertainty Evaluation Methods for On-Wafer S-Parameter Measurements
    Teppati, Valeria
    Ferrero, Andrea
    IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2014, 63 (04) : 935 - 942
  • [45] A comparison in the evaluation of measurement uncertainty in analytical chemistry testing between the use of quality control data and a regression analysis
    Sousa, Joao A.
    Reynolds, Alexandra M.
    Ribeiro, Alvaro S.
    ACCREDITATION AND QUALITY ASSURANCE, 2012, 17 (02) : 207 - 214
  • [46] Sparsity-Promoting Sensor Selection for Non-Linear Measurement Models
    Chepuri, Sundeep Prabhakar
    Leus, Geert
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2015, 63 (03) : 684 - 698
  • [47] Measurement uncertainty evaluation for a non-negative measurand: an alternative to limit of detection
    Williams, Alex
    ACCREDITATION AND QUALITY ASSURANCE, 2008, 13 (01) : 29 - 32
  • [48] Comparison of Different Methods to Evaluate Measurement Uncertainty in Bimetallic Thermometers Used in Industrial Equipment
    Hernandez-Vasquez, Jose Daniel
    Jutinico-Alarcon, Andres Leonardo
    Simanca-Celedon, Emanuel Alberto
    Romero-Acuna, Alejandro
    Orozco-Lozano, Willman
    Villate-Fonseca, Mercy
    Campuzano, Manuel J.
    INTERNATIONAL JOURNAL OF TECHNOLOGY, 2023, 14 (02) : 374 - 386
  • [49] A priori evaluation of non-linear models for turbulent incompressible flows
    El Yahyaoui, O
    Mompean, G
    Naji, H
    Thais, L
    ENGINEERING TURBULENCE MODELLING AND EXPERIMENTS 5, 2002, : 147 - 156
  • [50] A priori evaluation and improvement of a non-linear model for turbulent flows
    El Yahyaoui, O
    Mompean, G
    Naji, H
    COMPTES RENDUS MECANIQUE, 2002, 330 (01): : 27 - 34