I agree with you John, but some explanation may help.

Type A errors are caused by statistical evaluation = example: systematic errors.
Systematic errors can -in general- be reduced by a calculable correction
plus a new -smaller- uncertainty of type A or B.

Type A uncertainty is when you approximate a cable attenuation by 0 dB 
attenuation
with -1 dB uncertainty due to frequency dependency.
The specification can be better by creating an attenuation table 
as function of frequency and linear interpolating in this table plus
a type A uncertainty due to linear interpolation plus a type B error due to 
the instrumentation errors.
The interpolation error  type A can again be improved by splitting in a
correction formula (spline) and a new smaller error.



The principles behind GUM are sound.
And give workable results without having to invent the wheel yourself.
And are accepted by the international metrology worlds
(even if EMC cannot be really metrologized).

Regards,

Ing. Gert Gremmen

[email protected]
www.cetest.nl

Kiotoweg 363
3047 BG Rotterdam
T 31(0)104152426
F 31(0)104154953

 Before printing, think about the environment. 




Van: [email protected] [mailto:[email protected]] Namens John M Woodgate
Verzonden: Friday, November 13, 2009 3:02 PM
Aan: [email protected]
Onderwerp: Re: [PSES] equipment calibration process

In message <[email protected]>, 
"ce-test, qualified testing bv - Gert Gremmen" <[email protected]> 
writes

>That said; without GUM, no decent traceable internal calibration is 
>possible. So I suggest that you take a look at GUM first: 
>http://en.wikipedia.org/wiki/Measurement_uncertainty

I feel very sceptical about this subject. Granted that it is necessary 
to consider how accurate a result is, but there seems to be a lot of 
disingenuous language designed to cover up that estimates of accuracy 
cannot be other than largely arbitrary, because the quantities involved 
are those which are inherently unknown - if they were known they would 
not be 'uncertainty'.

Consider for example:

Type A uncertainties are those that are evaluated by statistical 
methods,

meaning 'guessed using numbers'

and Type B uncertainties are evaluated by other means.

meaning 'guessed without any numbers being available.'

Because of the close association of 'uncertainty' with assessment and 
certification of laboratories, it is becoming ritualized, with implied 
presumptions that uncertainty is some sort of 'fall from perfection' or 
even 'evil'. It isn't; it's an inherent property of this Universe.

When threatened with increasing demands for more and more complicated 
evaluations of uncertainty and/or pressure to reduce it, I suggest to 
bear in mind that the required accuracy of a result depends entirely on 
what its to be used for, We don't measure the dimensions of 
(agricultural) fields to the nearest millimetre, even though with a 
laser tellurometer, we could measure to even smaller units. I have 
coined the phrase 'measuring jelly (Jello) with a micrometer' about some 
EMC tests.

This is particularly relevant to EMC, or any other measurements relating 
to limits. The permissible uncertainty isn't constant: close to the 
limit it's very small (one hopes), but far from the limit in can indeed 
be 'agricultural'. If I measure an emission as -20 dB referred to the 
limit, an uncertainty of +/- 19.5 dB could be tolerated. In practice, 
+/- 6 dB should be acceptable without question.

Another example is sound pressure level. A change of 1 dB is just 
perceptible under instant comparison. With a 4-hour gap between 
presentations, some people cannot detect a 3 dB change. But an 
uncertainty of +/-1 dB is regarded as 'poor' in some circles.

End of rant.
-- 
This is my travelling signature, adding no superfluous mass.
John M Woodgate

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