Uncertainty analysis using Monte Carlo method in the measurement of phase by ESPI

被引:0
|
作者
Morales, Marcelino Anguiano [1 ]
Martinez, Amalia [1 ]
Rayas, J. A. [1 ]
Cordero, Raul R. [2 ]
机构
[1] Ctr Invest Opt AC, Apartado Postal 1-948, Leon 37000, Mexico
[2] Leibniz Univ Hannover, D-30419 Hannover, Germany
来源
RIAO/OPTILAS 2007 | 2008年 / 992卷
关键词
speckle interferometry; displacement measurements; uncertainty analysis;
D O I
暂无
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
A method for simultaneously measuring whole field in-plane displacements by using optical fiber and based on the dual-beam illumination principle electronic speckle pattern interferometry (ESPI) is presented in this paper. A set of single mode optical fibers and beamsplitter are employed to split the laser beam into four beams of equal intensity. One pair of fibers is utilized to illuminate the sample in the horizontal plane so it is sensitive only to horizontal in-plane displacement. Another pair of optical fibers is set to be sensitive only to vertical in-plane displacement. Each pair of optical fibers differs in longitude to avoid unwanted interference. By means of a Fourier-transform method of fringe-pattern analysis (Takeda method), we can obtain the quantitative data of whole field displacements. We found the uncertainty associated with the phases by mean of Monte Carlo-based technique.
引用
收藏
页码:1005 / +
页数:2
相关论文
共 50 条
  • [1] Analysis of uncertainty in harmonic measurement based on Monte Carlo method
    Huang, De-Hua
    Zhang, Lu-Liang
    Zeng, Jiang
    Sun, Wei-Wei
    [J]. Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control, 2012, 40 (20): : 62 - 67
  • [2] Using Monte Carlo method for uncertainty analysis of SWIR FPA spectral response measurement
    Deomidov, A.D.
    Polesskiy, A.V.
    Semenchenko, N.A.
    Tresalc, V.C.
    Smirnov, A.A.
    [J]. Applied Physics, 2015, 2015-January (04): : 94 - 101
  • [3] Uncertainty Analysis in EVM Measurement Using a Monte Carlo Simulation
    Cho, Chihyun
    Lee, Joo-Gwang
    Kim, Jeong-Hwan
    Kim, Dae-Chan
    [J]. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2015, 64 (06) : 1413 - 1418
  • [4] Measurement Uncertainty Evaluation using Monte Carlo Method based on LabVIEW
    Wu Shilin
    Li Yuanqing
    Fang Sui
    [J]. PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON MATERIAL, MECHANICAL AND MANUFACTURING ENGINEERING, 2015, 27 : 1151 - 1157
  • [5] Assessment of measurement uncertainty using Monte Carlo method based on STATISTICA
    Tokarska, Magdalena
    Gniotek, Krzysztof
    [J]. PRZEGLAD ELEKTROTECHNICZNY, 2010, 86 (09): : 43 - 46
  • [6] MODELLING OF SYMMETRY MEASUREMENT UNCERTAINTY USING MONTE-CARLO METHOD
    Kulderknup, E.
    [J]. PROCEEDINGS OF THE 8TH INTERNATIONAL CONFERENCE OF DAAAM BALTIC INDUSTRIAL ENGINEERING, VOLS 1 AND 2, 2012, : 496 - 499
  • [7] Uncertainty analysis of spectral flux measurement using Monte Carlo simulation
    Yaran, Senel
    Kosemen, Zuhal Alpaslan
    Akkan, Cagri Kaan
    Nisanci, Hilal Fatmagul
    Kruger, Udo
    Sperling, Armin
    [J]. JOURNAL OF THE EUROPEAN OPTICAL SOCIETY-RAPID PUBLICATIONS, 2024, 20 (01):
  • [8] MEASUREMENT UNCERTAINTY SIMULATION BY MONTE CARLO METHOD IN NANOMETROLOGY
    Sramek, Jan
    Jankovych, Robert
    [J]. MM SCIENCE JOURNAL, 2019, 2019 : 2998 - 3004
  • [9] Evaluation of Measurement Uncertainty Based on Monte Carlo Method
    Wang, X. M.
    Xiong, J. L.
    Xie, J. Z.
    [J]. 2018 3RD INTERNATIONAL CONFERENCE ON CIVIL ENGINEERING AND MATERIALS SCIENCE (ICCEMS 2018), 2018, 206
  • [10] Uncertainty evaluation and optimization of INS installation measurement using Monte Carlo Method
    Wang, Qing
    Huang, Peng
    Li, Jiangxiong
    Ke, Yinglin
    [J]. ASSEMBLY AUTOMATION, 2015, 35 (03) : 221 - 233