Hi

In *general* the crystal in an OCXO should drift positive. The reason often 
mentioned is fairly simple:

You can only get the blank + base plate + calibration just so clean. You can go
crazy getting the enclosure clean. The result is a long term mass transfer from 
the blank  (it’s “dirty”, looses mass, frequency goes up) to the enclosure.

Are there a whole lot of other things that may be happening? Of course. The 
telling point is still that negative aging is a bit unusual on a well made 
crystal. As Rick pointed out a few decades ago, OCXO performance may or
may not be limited by the crystal ….

Bob

> On Nov 12, 2016, at 6:25 PM, Joseph Gray <[email protected]> wrote:
> 
> TCXO, not OCXO, but related. Sorry, but I have no graphs.
> 
> I work for a municipal radio shop. We service radios that span 20
> years (through acquisitions, it was GE, Ericsson, Com-Net, M/A-COM,
> Tyco, now Harris). There are several different model handhelds and
> mobiles, with different designs and TCXO's. Some are adjusted manualy,
> most via software. I have found that every single TCXO in the various
> model radios drift downward in frequency over time.
> 
> One interesting case was a set of radios that sat on the shelf, unused
> for several years. They were issued to some custodians about a year
> ago. I checked all of them on the service monitor beforehand and they
> were well within spec. All of these radios came back to the shop
> recently. They were 1-3 KHz low in transmit frequency. That is an
> unusual amount of drift in one year. Perhaps it has something to do
> with how long they sat on the shelf.
> 
> I don't have enough history on our newest radios, so I don't know if
> this downward trend will hold true for them.
> 
> Joe Gray
> W5JG
> 
> 
> On Sat, Nov 12, 2016 at 2:54 PM, Tom Van Baak <[email protected]> wrote:
>> There were postings recently about OCXO ageing, or drift rates.
>> 
>> I've been testing a batch of TBolts for a couple of months and it provides 
>> an interesting set of data from which to make visual answers to recent 
>> questions. Here are three plots.
>> 
>> 
>> 1) attached plot: TBolt-10day-fit0-e09.gif ( 
>> http://leapsecond.com/pages/tbolt/TBolt-10day-fit0-e09.gif )
>> 
>> A bunch of oscillators are measured with a 20-channel system. Each frequency 
>> plot is a free-running TBolt (no GPS, no disciplining). The X-scale is 10 
>> days and the Y-scale is 1 ppb, or 1e-9 per Y-division. What you see at this 
>> scale is that all the OCXO are quite stable. Also, some of them show drift.
>> 
>> For example, the OCXO frequency in channel 14 changes by 2e-9 in 10 days for 
>> a drift rate of 2e-10/day. It looks large in this plot but its well under 
>> the typical spec, such as 5e-10/day for a 10811A. We see a variety of drift 
>> rates, including some that appear to be zero: flat line. At this scale, 
>> CH13, for example, seems to have no drift.
>> 
>> But the drift, when present, appears quite linear. So there are two things 
>> to do. Zoom in and zoom out.
>> 
>> 
>> 2) attached plot: TBolt-10day-fit0-e10.gif ( 
>> http://leapsecond.com/pages/tbolt/TBolt-10day-fit0-e10.gif )
>> 
>> Here we zoom in by changing the Y-scale to 1e-10 per division. The X-scale 
>> is still 10 days. Now we can see the drift much better. Also at this level 
>> we can see instability of each OCXO (or the lab environment). At this scale, 
>> channels CH10 and CH14 are "off the chart". An OCXO like the one in CH01 
>> climbs by 2e-10 over 10 days for a drift rate of 2e-11/day. This is 25x 
>> better than the 10811A spec. CH13, mentioned above, is not zero drift after 
>> all, but its drift rate is even lower, close to 1e-11/day.
>> 
>> For some oscillators the wiggles in the data (frequency instability) are 
>> large enough that the drift rate is not clearly measurable.
>> 
>> The 10-day plots suggests you would not want to try to measure drift rate 
>> based on just one day of data.
>> 
>> The plots also suggest that drift rate is not a hard constant. Look at any 
>> of the 20 10-day plots. Your eye will tell you that the daily drift rate can 
>> change significantly from day to day to day.
>> 
>> The plots show that an OCXO doesn't necessarily follow strict rules. In a 
>> sense they each have their own personality. So one needs to be very careful 
>> about algorithms that assume any sort of constant or consistent behavior.
>> 
>> 
>> 3) attached plot: TBolt-100day-fit0-e08.gif ( 
>> http://leapsecond.com/pages/tbolt/TBolt-100day-fit0-e08.gif )
>> 
>> Here we look at 100 days of data instead of just 10 days. To fit, the 
>> Y-scale is now 1e-8 per division. Once a month I created a temporary thermal 
>> event in the lab (the little "speed bumps") which we will ignore for now.
>> 
>> At this long-term scale, OCXO in CH09 has textbook logarithmic drift. Also 
>> CH14 and CH16. In fact over 100 days most of them are logarithmic but the 
>> coefficients vary considerably so it's hard to see this at a common scale. 
>> Note also the logarithmic curve is vastly more apparent in the first few 
>> days or weeks of operation, but I don't have that data.
>> 
>> In general, any exponential or log or parabolic or circular curve looks 
>> linear if you're looking close enough. A straight highway may look linear 
>> but the equator is circular. So most OCXO drift (age) with a logarithmic 
>> curve and this is visible over long enough measurements. But for shorter 
>> time spans it will appear linear. Or, more likely, internal and external 
>> stability issues will dominate and this spoils any linear vs. log discussion.
>> 
>> So is it linear or log? The answer is it depends. Now I sound like Bob ;-)
>> 
>> /tvb
>> 
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