We have to consider that the temperatures sought are not of metrological value, 
but to 
to establish a safe/non-safe result. This means that the whole time constant 
discussion is relevant
only when the final expected temperature is close to the standards limit value.
The mathematical limit of an exponential rise is easy to estimate, once a few 
timed samples are available,
and if that value is far enough above or below the limit, a conclusion is easy 
to draw.

For cyclic heating  equipment, a similar approach is not difficult.

If the cycle is unknown , there is no other option than to wait infinitely.

Unfortunately, any cyclic information is unknown if the test engineer is not 
involved with the
operating principle of the EUT, so if following a black box testing approach, 
the 
measurement will never get to completion !  ;<)

Regards,

Ing. Gert Gremmen
Approvals manager
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From: John Woodgate [mailto:jmw1...@btinternet.com] 
Sent: Saturday 7 January 2017 00:32
To: EMC-PSTC@LISTSERV.IEEE.ORG
Subject: Re: [PSES] Thermal equilibrium - 10% rule

Standards can't necessarily cover every possibility. For cyclical effects, I 
would say that conditions are stable if two successive temperature maxima are 
equal (within a reasonable tolerance). This doesn't necessarily work if more 
than one cycle frequency is involved, in which case you have to look for the 
repetition of the whole sequence, which might take a long time. 

For example, a 10 minute cycle and a 12 minute cycle give a sequence that 
repeats every 60 minutes. 

If you are lucky.

With best wishes DESIGN IT IN! OOO – Own Opinions Only
www.jmwa.demon.co.uk J M Woodgate and Associates Rayleigh England

Sylvae in aeternum manent.

From: Doug Powell [mailto:doug...@gmail.com] 
Sent: Friday, January 6, 2017 11:09 PM
To: EMC-PSTC@LISTSERV.IEEE.ORG
Subject: Re: [PSES] Thermal equilibrium - 10% rule

Thanks!

I'll take a look.  I generally log with LabView or direct into an Excel 
spreadsheet, maybe I can get an Excel VB Script to post expected times.  

One of the concerns I am dealing with now is how to determine stability when 
there are cyclical operations going on.  I am using the prescribed stability 
criteria and using this on the minima/maxima of the temperature variations as 
it moves up and down.  Funny, as I sit starting at thermal data moving in this 
way, I think of it "porpoise-ing" up and down.

All the best,  Doug

-Doug


Douglas E Powell
Laporte, Colorado USA
doug...@gmail.com
http://www.linkedin.com/in/dougp01


On Fri, Jan 6, 2017 at 2:10 PM, Brian O'Connell <oconne...@tamuracorp.com> 
wrote:
Rough pseudo code for my transformer algorithm for logging and monitoring 
temperatures for normal operating conditions:

time constant = (material ksp * mass) / (24*60)
sample interval = time constant / (mass * material kx)
breakpoint flags = false

if sample interval < min interval
   sample interval = min interval

interrupts:
   temperatures to circular buffer
   log samples and windowed averages to network storage

loop:
   for each channel
      verify exponential and set breakpoint flag for each channel
      update thermal lag time
      adjust sample interval if time constant > thermal lag/2
   find least dT/dt channel
   find largest thermal lag time per ambient time per matching indices of 
windowed means
   if all breakpoint flags
      indicate done

Brian


From: Doug Powell [mailto:doug...@gmail.com]
Sent: Friday, January 06, 2017 11:11 AM
To: EMC-PSTC@LISTSERV.IEEE.ORG
Subject: Re: [PSES] Thermal equilibrium - 10% rule
John,

I agree with the common sense approach and use it frequently.  It's always 
interesting to me how I can look at a screen plot of 60 thermocouples and in a 
second or two decide, "yes this is stable".  I can even estimate how much time 
it will take to become stable as a test nears the end (usually about the time 
of a lunch break).  More than once I have attempted to write an algorithm to 
make the same projection and have failed every time.  The non-linearities and 
multiple heat sources & sinks makes this nearly impossible.

On a side-bar, Voltaire is quoted as saying "Common sense is not so common", 
which mean he is man with similar sensibilities as myself.  

Those who know me personally have often heard me say what I consider to be a 
corollary, "Common sense is usually neither.. common or sensible".  


-Doug


Douglas E Powell
Laporte, Colorado USA
doug...@gmail.com
http://www.linkedin.com/in/dougp01



On Fri, Jan 6, 2017 at 11:30 AM, john Allen <john_e_al...@blueyonder.co.uk> 
wrote:
Minor comment:
Having been the Secretary to a number of BSI committees many years ago, I
sympathise with Ralph's last para as the Chairmen can be even worse than the
other Members - they "know what they know" and it can take an awful lot of
"effort" to "persuade" them that they need to "think again" - once had to
refuse to publish a Chairman's version of a new standard because it did not
meet the basic BSI guidelines for how a product standard should be written,
until I had rewritten a large part of it to make it at least reasonably
"testable" for the EMC-related requirements - a little (sometimes a lot!) of
subject knowledge is required to set appropriate test and assessment
requirements!

Unfortunately, nowadays, a large number of Committee Secretariats appear to
employ non-SME staff to run their committees and so they can be lead by the
nose by the Chairmen.

FWIW, in the context of this thread, I used to use "commonsense" in deciding
when the temperatures appeared to have stabilized - -taking into account
where the probes were located - particularly  when the observed temperatures
were substantially below the relevant Insulation Class limits.

John E Allen
W. London, UK

-----Original Message-----
From: Ralph McDiarmid [mailto:ralph.mcdiar...@schneider-electric.com]
Sent: 06 January 2017 17:20
To: EMC-PSTC@LISTSERV.IEEE.ORG
Subject: Re: [PSES] Thermal equilibrium - 10% rule

For what it's worth, we measure and log temperatures at 1 minute intervals
(sometimes quicker, depending on what is being tested) and graph each data
set in Excel and look at the curves.  When they go flat (even with some
ripple), we call it stable.  Good enough for all the agencies we work with.
And I like the term steady-state much better, but what it is called isn't
terribly important as I see it.  The temperature can be stable (no further
increase observable) over a period, even if it's oscillating slightly around
a mean value.  The mean value could be the average of the last 20 or so
reading for instance.  It requires some judgement.

I empathize with John's experience about it taking "many tellings" on a
committee to get something right.  I have stopped just short of the Makita
Khrushchev United Nations technique at times!

Ralph McDiarmid
Product Compliance
Engineering
Solar Business
Schneider Electric
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doug...@gmail.com
http://www.linkedin.com/in/dougp01
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