Simply call it " Make it to meet specification", N1UL
In a message dated 9/17/2017 12:39:32 P.M. Eastern Daylight Time,
magnus@rubidium.dyndns.org writes:
Hi,
The word "calibration" is overloaded with multiple meanings, and
incompatible too.
"calibration" is often used to describe adjustments to make a device
operate correctly, such as passing the performance checks.
"calibration" in legal traceability is about measure the performance
against references to form a traceable record of deviations from the
norml. This may include adjustment to ease compensation, but this is not
necessary. Regardless of wither adjustments where done or not, the
calibration record will indicate the errors that then needs to be
applied to the measurement for the measurement to be traceable, and this
in itself requires documented knowledge about how to do the measurement.
Otherwise it's just a fancy indication.
Adjustment to a reference thus do not imply legal traceability, or even
full functionality.
For full functionality, you have to go through the performance check and
see that all values is within limits.
"calibration" can thus imply different things.
I regularly see people use these terms inconsistently. That people get
disappointed when they get the wrong thing is to be expected.
Cheers,
Magnus
On 09/17/2017 05:23 PM, Scott McGrath wrote:
As to the point most modern instruments have self calibration, Most of
the time 'calibration' is simply the performance check adjustments are not
performed unless necessary
The difference being the instruments used in performance test are
traceable to a national standards body.
So whats referred to as calibration is in reality performance validation.
How do I know this by becoming friendly with the local lab and years ago
when i worked for govt i used to moonlight at one of the local cal labs.
On Sep 17, 2017, at 8:57 AM, KA2WEU--- via time-nuts
time-nuts@febo.com wrote:
Modern test and radio equipment have self calibration capabilities,
older
analog do not. Calibration is not always need for just simple test,
but
for specification conformation it is useful. A bit of luck also
helps.
In a message dated 9/17/2017 8:08:00 A.M. Eastern Daylight Time,
drkirkby@kirkbymicrowave.co.uk writes:
On 15 Sep 2017 10:45, "Scott McGrath" scmcgrath@gmail.com wrote:
Precisely my point, But when purchasing i expect to pay for a
calibration at a minimum.
I have on occasions requested sellers to send an item to the
manufacturer
(Agilent or Keysight) for calibration before shipping it to me,
offering
to pay the calibration cost, but stating that I expect a full refund
if the
item fails the calibration.
If a test equipment dealer is confident that something is working
well,
they should not object to sending it to the manufacturer for
calibration,
as long as the buyer is willing to pay.
Of course if a seller knows little about something, they are not
going to
do this, but the item should be appropriately priced.
One UK seller (grace1403) declined to send an Agilent N9912A FieldFox
to
Agilent, because "Agilent were too fussy"., failing items for trivual
issues. But he did agree to send it to one of the cal labs he uses. I
thought it was a waste of time going to one of the less fussy outfits,
but
bought it anyway. It was then clear on receipt that it was faulty.
(The
spectrum analyser functionality was ok, but it didn't work as a network
analyzer). He took it back, but then advertised it on eBay 6 months
later. When asked, he said nothing had been done to it.
eBay rules about who pays the return shipping charge for an item that
is
"not as described' keep changing, and may be different on different
sites.
But on a heavy item shipped internationally, the postage cost can be
comparable or exceed the calibration cost.
Dave.
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On 9/17/17 9:42 AM, KA2WEU--- via time-nuts wrote:
Simply call it " Make it to meet specification", N1UL
In a message dated 9/17/2017 12:39:32 P.M. Eastern Daylight Time,
magnus@rubidium.dyndns.org writes:
Hi,
The word "calibration" is overloaded with multiple meanings, and
incompatible too.
"calibration" can thus imply different things.
I regularly see people use these terms inconsistently. That people get
disappointed when they get the wrong thing is to be expected.
Cheers,
Magnus
Indeed - in my business, we have to be careful about the word "test" vs,
say, "characterization". A "test" has a pass/fail criteria associated
with it, while a "characterization" might just need recording what the
value is. "tests" have institutional requirements for witnessing, etc.
that "characterizations" do not, for instance.
And this gets into the whole "knowledge" vs "control" - I may not care
if a XO changes frequency 10ppm over temperature, as long as it's
repeatable and I can know the actual frequency within 0.5 ppm.
As Magnus points out, "calibration" can mean many different things, and
some of them are historically derived. Back in the day, there may have
been some sort of physical adjustment required to, for instance, set the
scale factor of a display - but now, it's "calibrated by design", and
the "calibration process" (as in "sending it to the cal lab" to get a
"cal cert") is more about verification that it's not "broken".
I also used to (and still do) get bent out of shape when you'd send
something like a power supply out for cal, and it would come back with
some problem (like a non-functioning pilot light). And the cal lab
would say: "we checked the output voltage and it is within spec". Yeah,
but isn't "proper function of all features" covered - and the response
would be "no, it is not, we don't see 'verify function of pilot light'
on the cal procedure we have"
ANd then there's the "calibration/validation" phase of instruments in
space - that's a completely different kind of thing, more akin to
characterization.. The 'val' part is yes, verifying that the instrument
is working as designed,but the 'cal' part is more about relating
instrument measurements to some other reference, and from that, relating
it to some physical property of interest. And that can happen at many
levels.
A spaceborne scatterometer to measure winds can be cal/val at
And particularly for #2, a lot of it is inferential - comparing one
model against another, since there's not really "ground truth" available.