Gaussian Resistors - Page 1
Forum section: electronics / general

author: BobInOhio
author_rank: Newbie
timestamp: November 06, 2011, 12:11:31 am
content: Excellent blog and experiment Dave! Enjoyed it very much ... wonder if you considered creating a statistical process control chart with your data? Given that the resistors you measured were indeed manufactured in sequence, it would be quite interesting to create an x-bar and R control chart, averaging every four resistors and calculating the range of the four, to generate a 100 point control chart. In fact, if you are willing to share the raw data I will be glad to offer to do this for you and also determine the process capability of the manufacturing process at Phillips given the +/- 1% specification.Love the Vblogs ... keep up the great work!Bob

author: sub
author_rank: Regular Contributor
timestamp: November 06, 2011, 01:01:48 am
content: I too would be interested to see the raw data. While it does look Gaussian, it might be interesting to run some formal tests-of-Gaussianness. Since (according to Wikipedia) the resistors are made by etching a path in a film there are perhaps theoretical reasons for it to the case, however, since it is the sum of a a number of infinitesimal resistance elements.

author: EEVblog
author_rank: Unknown
timestamp: November 06, 2011, 01:57:44 am
content: Oops, forgot to share the raw data which I intended to do.Attached, and also on the Youtube page.Open Office and Excel formats.I was happy enough when I got my apparent Gaussian response. But those who want to play around further and post the results, it would be most interesting.I'm certainly no statistician or process control expert.Dave.

author: Rufus
author_rank: Super Contributor
timestamp: November 06, 2011, 02:25:18 am
content: I am not that surprised at the observed spread with nothing over 0.6% out. If that is what the process does and you are getting all the samples from the process that is what you will see. They obviously target their process at the nominal value (where else would you target a process with a Gaussian distribution) but I wouldn't be surprised to see results with the same spread but biased away from the nominal value, depends how easy/quickly they can re-target their process at the nominal.Also if they were 1% parts selected from something with a worse spread I wouldn't expect any to be 1% out, they would want to cover measurement uncertainty and ageing and probably one thermal cycle soldering shock and still be 1%. On top of that if their process has say 2% spread more than half their output will be 1% and if the demand for 5% and 1% resistors is 3:1 what do they do? Probably tighten up the tolerance for 1% selection to get less off them.If someone wants numbers to play with I attach a .csv file with some production test measurements from assembled PCBs. The 1st and 3rd columns are 3 x 68k 1% resistors in series, the 2nd and 4th 6k19 0.1% resistors. The resistors probably came from two or three different batches and I doubt anything can be inferred from the order of the data. I have not analysed them at all so post if you find anything interesting.Edit: Oops I lied, the 1st and 3rd are 3 x 68k and 1k in series for 205k nominal.

author: BobInOhio
author_rank: Newbie
timestamp: November 06, 2011, 03:06:18 am
content: I ran control charts on Dave's raw data, and in the attached also gave a bit of an introduction to SPC charting for those that may not be familiar ... please excuse the bloviation as this stuff is near and dear to my heart.Results are interesting! Though the resistors are well within specification, the process that produced them is not as stable as we might have imagined ...

author: robrenz
author_rank: Super Contributor
timestamp: November 06, 2011, 03:33:19 am
content: Having measured a bunch of 0.1% smd metal film resistors lately for a decade box project, I see results similar to Dave's. I had resistors from Vishay/Dale, RCD, Bourns, and Panasonic. I had 500 each of 3 different values from Bourns, 2 values fit the +/- 0.05% but one value had 17 out of 100 tested that were out of tolerance. (see my posthttps://www.eevblog.com/forum/index.php?topic=5174.msg67576#msg67576) The Vishay/Dale and Panasonic also easily fit the +/- 0.05% range. I had 500 each of 3 different values from RCD. They barely used +/-0.02% very impressive.As far as selective picking from production runs to achieve the tolerance ranges being a myth or not, my OPINION fwiw;Resistors that are manufactured by a process that allows trimming to spec after the initial manufacture process (laser trimmed metal film as an example) will show the Gaussian distribution. There is no reason for picking ones to reach a certain tolerance because the active trim process trims it to tolerance. (there may still be selective picking of these for the 0.01% tolerance. I don't know how precise the active laser trim systems go) In this case it is myth.Resistors that are manufactured by a process that doesnotallow adjustment after the initial manufacturing (carbon composition as an example) selective picking for tolerance may be the only viable method if the initial manufacturing process can not achieve the desired tolerance. In this case it would not be myth.

author: Zad
author_rank: Super Contributor
timestamp: November 06, 2011, 04:25:52 am
content: I was going to make a similar point to that mentioned by Robrenz. Metal film resistors are automatically trimmed before encapsulation, so it is likely that any resistor with a value which is outside the allowed tolerance will be given a "zap" to push it closer to the nominal value. I imagine if the value is too high it will then be trimmed up to the next preferred value. Raw untrimmed values may well have a smoother bell-shaped curve.

author: sub
author_rank: Regular Contributor
timestamp: November 06, 2011, 12:03:08 pm
content: Quote from: robrenz on November 06, 2011, 03:33:19 amUnless the measurement error were noise-limited, though, one would perhaps expect a uniform distribution for trimmed resistors rather than Gaussian due to the quantisation of the measurement equipment. Then again, given the relative ease with which one can do high-resolution resistance measurements, perhaps noise is the limiting factor when churning out millions of the things and you want to keep measurement time down.I suppose it all comes down to the relative levels of noise and quantisation error. Does anyone have more experience here?

author: pmichniewski
author_rank: Newbie
timestamp: November 06, 2011, 03:10:23 pm
content: There is a nice article about resistor tolerances here:http://www.edn.com/article/509250-7_solution.php

author: Unknown
author_rank: Unknown
timestamp: November 06, 2011, 05:46:12 pm
content: I was surprised that Dave didn't use the four wire resistance measurement mode. Sure, in this case the two terminal measurement appeared quite stable, but if you have the ability anyway, why not? Was it lack of proper four wire leads and not wanting to clip two banana clips to each resistor lead?

author: EEVblog
author_rank: Unknown
timestamp: November 06, 2011, 10:17:57 pm
content: Quote from: alm on November 06, 2011, 05:46:12 pmCorrect, I didn't have a suitable 4-wire lead and didn't bother making one up for the job.The 2 wire mode was tested to be more than stable enough.Even with 4 wire, you still have the issue of contact resistance on the alligator clips and oxidisation etc if you used a single alligator clip solution. And if you used a dual alligator clip solution as you suggested then you've just doubled your contact problems and time to connect/disconnect.Dave.

author: Zad
author_rank: Super Contributor
timestamp: November 06, 2011, 10:37:16 pm
content: Most 4-wire measurements only have 2 clips anyway, but in this instance it didn't really matter. The devices under test were all very similar in value, and the resistance of the 2 wires were constant anyway, and the setup was at a constant temperature.

author: robrenz
author_rank: Super Contributor
timestamp: November 06, 2011, 11:21:29 pm
content: Quote from: Zad on November 06, 2011, 10:37:16 pmQuote from: alm on November 06, 2011, 05:46:12 pmMy understanding is the major error in a 2 wire measurement is the IxR drop in the leads because the voltage is sensed at the meter jacks in 2 wire mode. So in this case assume 24" leads x 2 = 48" of 18 GA 65/36 wire at 0.000531833 ohm/inch = 0.025528 ohm.probably 1mA drive current x 0.025528 ohm = 0.000025528 volt drop in the leads. The voltage drop across the 1k resistor at 1mA drive current is 1 volt. 0.000025528/1=.000025528 in percent that is a .0025528% error not relevant at this resistance as it is probably 5 times smaller than the 90 day accuracy of the meter.

author: Unknown
author_rank: Unknown
timestamp: November 06, 2011, 11:29:28 pm
content: Real Kelvin leads have two isolated jaws per clip, one is used for current and one is used for sense. So as long as your contact resistance is within reasonable limits it shouldn't matter. The same can be achieved by just using two alligator clips per side, but I can understand that you don't want to clip on four clips times a few thousand resistors.The main source of variability would be the contact resistance itself, eg. how well the oxidation is punctured. Like I said, it did seem quite constant here, but I would use Kelvin connections for anything involving sub-ohm resolution.Quote from: robrenz on November 06, 2011, 11:21:29 pmThis test was about resolution, not about accuracy, so whether it's below the 90 day accuracy is not really relevant. Dave didn't take the uncertainty into account anyway. You can just measure the lead resistance and subtract like Dave did, the issue is that contact resistance may not be constant, depending on the condition of the resistor leads.

author: robrenz
author_rank: Super Contributor
timestamp: November 07, 2011, 12:25:13 am
content: Quote

author: Unknown
author_rank: Unknown
timestamp: November 07, 2011, 12:52:39 am
content: Cool idea! Some meters have a feature called offset compensated ohms were they also measure the voltage with no current applied, but it it's limited to the higher end models (eg. Agilent 34410A, Keithley 2001/2002). This is a very cheap and elegant solution that accomplishes the same.

author: EEVblog
author_rank: Unknown
timestamp: November 07, 2011, 02:07:47 am
content: Quote from: alm on November 06, 2011, 11:29:28 pmFYI, I did more testing of the contact resistance repeatability than show in the video, across many resistors, and it was always within about 20mOhms (2 LSD's). That was more than good enough for me, and in theory kelvin leads would have had the same contact variability anyway (assuming the same clip style).Dave.

author: Rufus
author_rank: Super Contributor
timestamp: November 07, 2011, 02:34:06 am
content: Quote from: EEVblog on November 07, 2011, 02:07:47 amWithout some form of kelvin connection to the DUT they wouldn't be called kelvin leads. I have often made 4 wire kelvin connections with a pair of normal croc clip leads.I agree in this case the benefit wasn't worth the trouble of 4 clips. I was surprised the meter didn't have a null or zero button, or that you didn't use it if it has.

author: amspire
author_rank: Super Contributor
timestamp: November 07, 2011, 03:46:08 am
content: Dave,Since you have your thermal chamber, how about a look into how components like resistors change with temperature?If they are rated ay 100ppm, it is a constant rise or fall, or are they optimized to have a zero resistance/deg change around about 25 degrees?Or is it just all over the place. Some brands flat at room temperature, others not flat at all. Some increasing with temperature, others falling with temperature.Do different values from the same manufacturer behave the same, or totally differently?If you take some metal film resistors and measure them accurately at room temperature. Then you take then up to 80 degrees, and let them cool, how much does the room temperature resistance change by?It would be hard to test a large number of parts, but if wires are attached to the part and taken out of the box, you could do a representative sample.Not sure if anyone else would be interested, but I would.Richard.

author: EEVblog
author_rank: Unknown
timestamp: November 07, 2011, 04:42:05 am
content: Like you said, that's not an easy or quick test to do for a reasonable number of parts.Would be interesting though I agree.Dave.

author: amspire
author_rank: Super Contributor
timestamp: November 07, 2011, 04:58:49 am
content: Quote from: EEVblog on November 07, 2011, 04:42:05 amI agree. Too much for a stastical sample, but to test a few chosen parts would be interesting.For example:Brand X 10K resistorBrand X 10K resistor (so you could see if resistors from the same batch are actually similar)Brand X 100 ohmBrand X 1M ohmBrand Y 10KBrand Z 10K 25ppmBrand U 10K smdBrand V 10K smd

author: Unknown
author_rank: Unknown
timestamp: November 07, 2011, 09:13:26 pm
content: Quote from: EEVblog on November 07, 2011, 02:07:47 amVariability with Kelvin connections should be much lover, since almost zero current is going through the sense leads, assuming separate jaws, otherwise they aren't Kelvin leads.Quote from: Rufus on November 07, 2011, 02:34:06 amYes, that's a curious omission from the HP 3468A/3478A, although I believe most of the other 'low-cost' HP multimeters of that era didn't have one either.Quote from: amspire on November 07, 2011, 03:46:08 amFrom what I've seen in the past, the slope would be fairly constant for the same material (eg. carbon film). The direction is determined by the material, carbon film has a negative tempco for example, and metal film positive (and much lower). The relative change should be about the same for different values, although high values (>=1 Mohm) appear to behave much worse. Some of the specialty low-tempco alloys have a non-linear temperature-resistance relation.

author: PeteInTexas
author_rank: Frequent Contributor
timestamp: November 07, 2011, 10:16:13 pm
content: Quote from: BobInOhio on November 06, 2011, 03:06:18 amYou conclude there is a non-random variation in the process. How did the groups get formed from the data? Is it possible to identify the specific "faulty" resistor. Dave had them is a bandoleer and it may be possible to remeasure those specific resistors. Would be interesting to see that will "fix" your charts.

author: Unknown
author_rank: Unknown
timestamp: November 07, 2011, 10:26:35 pm
content: It's also possible that not all of the resistors came from the same batch, there might be a change between batches somewhere along the way, for example.

author: tjringsmose
author_rank: Newbie
timestamp: November 09, 2011, 11:26:19 am
content: It's not that surprising, that all the resistors are +- .5%. They are probably rated for use in a wide temperature range, and has to stay within 1% across the range.Look at a random 1k +-1% 50ppm resistor at RS Components,http://uk.rs-online.com/web/p/through-hole-fixed/0157446/The datasheet states on the front page, that after 1000h of use the resistor may vary by another .5% and after 8000h 1%. That means that those resistors, already at +- .5% are still within specs after 1000h.

author: grenert
author_rank: Frequent Contributor
timestamp: November 13, 2011, 05:53:57 pm
content: Robrenz, those clips are the same ones that Agilent sells for $45 a pair!http://www.home.agilent.com/agilent/product.jspx?nid=-536902470.536880336.00&lc=eng&cc=USWould you mind explaining how reversing the current changes the thermal EMF? I thought the EMF is the result of dissimilar metals in contact, and would not be affected by the current direction.

author: robrenz
author_rank: Super Contributor
timestamp: November 14, 2011, 01:56:39 am
content: Quote from: grenert on November 13, 2011, 05:53:57 pmIt does not change the thermal emf.read Section 3-19 on current reversal method. The whole book is excellent.http://www.keithley.com/knowledgecenter/knowledgecenter_pdf/LowLevMsHandbk_1.pdf

author: scopeman
author_rank: Frequent Contributor
timestamp: November 21, 2011, 02:51:36 am
content: Hello Dave,You probably know this but there is a statistics add in for Excel that will do all of the statistical analysis for you. Just look under Tools> Data Analysis > Descriptive Statistics.It is a free add in that most Excel users never turn on.I find it quite useful.Sam