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  • 8/12/2019 UAoverview of Procedure

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    Resistance Test Uncertainty Analysis: Overview of Procedure

    The uncertainty associated with all the laboratory measurements involves a random precision error and

    a fixed bias error. The errors can each be broken down further into three components. !" calibration

    errors #" data ac$uisition errors and %" data reduction errors& and '" conceptual basis erros.

    Recall: Random precision errors are observed in repeated independent measurements, while bias is the

    difference between an average set of readings and the true value. An example of a bias error is thesensor uncertainty as specified by the sensor manufacturer.

    The procedure attempts to $uantify the bias and precision limits& and total uncertainty for the totalresistance coefficient (T" and residuary resistance coefficient (R".

    To do this& the bias error associated with these coefficients is determined from:

    BCT#=CT

    B#

    CT!

    B!#

    CTRx

    BRx#

    CT

    B#

    since (Tis a function of )&*&Rxand density:

    CT

    Tm=

    Rx

    Tm

    +.,!#

    and

    BCR#

    =CRCT

    BCT

    #

    CR " B"#

    CRC#

    BC#

    #

    since (Ris a function of (T& k& (-:

    CR=CT!,deg

    !"C#!, deg

    )o& the maority of the procedure is concerned with obtainin/ the uncertainty associated with each of

    the variables above. The sources of error are or/ani0ed into the followin/ flowchart& where the

    variables of interest are estimated for each individual measurement system under the cate/ories ofcalibration& data ac$uisition& data reduction& and conceptual basis.

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    1ote as well that the total uncertainty for (Tand (Ris /iven by the root sum s$uare of the uncertainties

    of the total bias and precision limits.

    $CT#=BCT

    #%CT

    #

    $CR #

    =BCR #

    %CR #

    The uncertainty number is some combination of the bias and the precision errors and has a simpleinterpretation: the lar/est error reasonably expected. -or example& the interval

    &$

    represents a band within which the true value of the measurement is expected to lie& A1)23A)45&

    !67,".

    -inally& note that the bias limit associated with the temperature conversion is not considered in the

    analysis& so 8(T!, de/rees9 8(T

    Tm

    #inal note regarding lab data:'ver the course of testing, it was clear that repeatability was going to be an issue (witnessed by what

    appeared to be a substantial drift in the resistance reading over time). This may be due to the model

    si*e, or insufficient settling time between runs (although +-+ minutes was allotted for settling timeduring the test). /n order to illustrate typical results and ma"e the uncertainty analysis meaningful to

    the students, rather than s"ewed by these precision results, the resistance values of the repeated runs

    were estimated.