Volume 36, Issue 3 (May 2008)

    Novel Uncertainty-Evaluation Method of Virtual Instrument Small Sample Size

    (Received 26 September 2007; accepted 29 January 2008)

    Published Online: 2008

    CODEN: JTEOAD

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    Abstract

    Owing to the complication of virtual instrument measurement process, the authors applied Guide to the expression of uncertainty in measurement to evaluate the final measurement-uncertainty. However there are three essential problems that should be solved first: establishing a measurement model, calculating all error sensitivity coefficients, and correlation-coefficient. In order to analyze all random errors of the virtual instrument (VI) measurement chain, in this paper the main structure of VI measurement systems was discussed first. To establish the model of VI small sample measurement, a radial basis function neural network was used, then, based on this model, all error sensitivity coefficients were calculated by some difference equations; to calculate all correlation-coefficient of these error sources, a special arithmetic based on grey system theory was used. In the end, according to a general measurement example, uncertainty-evaluation results of this new method and Monte Carlo method were consistent, and this new method was proved.


    Author Information:

    Leyi, Ge
    School of Instrument Science and Opto-Electronics Engineering, Beihang University, Beijing,

    Zhongyu, Wang
    School of Instrument Science and Opto-Electronics Engineering, Beihang University, Beijing,


    Stock #: JTE101454

    ISSN: 0090-3973

    DOI: 10.1520/JTE101454

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    Author
    Title Novel Uncertainty-Evaluation Method of Virtual Instrument Small Sample Size
    Symposium , 0000-00-00
    Committee B01