bias linearity in MSA
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- This topic has 3 replies, 4 voices, and was last updated 20 years, 11 months ago by
Neil Polhemus.
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July 24, 2001 at 4:00 am #67667
Because the whole idea of MSA is to understand the sources of variation that exist in your measurement system. If the accuracy of the measuring device varies significantly over the operating range (range of measurement), then don’t you think that is something you’d want to know?
0July 24, 2001 at 4:00 am #67669
Chaz WeyerParticipant@Chaz-WeyerInclude @Chaz-Weyer in your post and this person will
be notified via email.If i understand your question correctly you would want to know about importance of bias and linearity in MSA. First definitions; bias is a measure of diffrence between measured values (on a given measurment equipment) and true (referenced to some traceable standard) value. Linearity is a measure of bias deviation accross measurment range. I will give an example : we had a few optical detectors that measured diffrent absolute values even though the MSA studies showed that they were very much reapeatable (7%). The problem was that at low optical power the detector response (input power versus readings) the noise/scattered light was high enough to move the curve out of linear relationship – I was seeing more light that I should.
Needless to say that none of the bias or linearity can be detected in MSA.
Chaz0July 24, 2001 at 4:00 am #67671
Neil PolhemusParticipant@Neil-PolhemusInclude @Neil-Polhemus in your post and this person will
be notified via email.What we are concerned about with gage linearity is that the measurements from a gage should increase linearly with the response or, if a gage is biased, the bias should remain constant over the range of measurements for which that gage is used. While we can tolerate a little non-linearity, it should be small with respect to the normal process variation. As typically defined, the percent linearity of a gage is related to the slope of a regression line fitting bias versus reference value. In general, the smaller the percent linearity the better.
0July 24, 2001 at 4:00 am #27557Hi friends!
Please tell me why linearity of bias is important in MSA?0 -
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