Percent% Errror Quoted for Electrical Components. What is it?

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SUMMARY

Manufacturers quote a percent error for electrical components, such as resistors, indicating the allowable variation from the nominal value. A 5% error guarantees that components are within 5% of the specified nominal value, typically at a given temperature. The distribution of these errors can be Gaussian, especially when parts are tested, while non-tested parts may exhibit a broader distribution. Higher-tolerance resistors can be sold as lower-tolerance ones due to better manufacturing processes, and the availability of resistor values follows specific series like E12, E24, and E48.

PREREQUISITES
  • Understanding of electrical component specifications
  • Familiarity with resistor tolerance levels
  • Knowledge of statistical distributions, particularly Gaussian
  • Awareness of resistor value series (E12, E24, E48)
NEXT STEPS
  • Research resistor tolerance specifications and their implications in circuit design
  • Explore statistical analysis techniques for manufacturing quality control
  • Learn about the manufacturing processes that affect component tolerances
  • Investigate the differences between tested and non-tested electrical components
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Electrical engineers, quality control specialists, and anyone involved in the manufacturing or selection of electronic components will benefit from this discussion.

Phrak
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Errror Quoted for Electrical Components. What is it?

(Where do I post electrical engineering homework questions? I'm home. I'm working. OK, maybe I'm not really working.)

Manufacturers quote a percent variation from nominal value for their parts. What does this percent error even mean??

For a 5% error, does this mean that each and every part is within 5% of the quoted value. Is the distributions flat, or is it Gaussian in shape?

If the manufacturer also sells a 2% version, does this mean that the 5% parts will have the middle 2% missing as these parts are selected-out?
 
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Phrak said:
(Where do I post electrical engineering homework questions? I'm home. I'm working. OK, maybe I'm not really working.)

Manufacturers quote a percent variation from nominal value for their parts. What does this percent error even mean??

For a 5% error, does this mean that each and every part is within 5% of the quoted value. Is the distributions flat, or is it Gaussian in shape?

If the manufacturer also sells a 2% version, does this mean that the 5% parts will have the middle 2% missing as these parts are selected-out?

I believe that if you're quoted 5%, the manufacturer guarantees that the resistors are within 5% of the nominal value (at some given temperature)--otherwise, they'd go into the next resistor size! I seem to always get better though.

The reason you don't see the 2% chopped out of the 5% (and the 1% chopped out of the 2%, and so forth) is that resistors are sold in various series. There are more 2% nominal resistor values available (E48) as opposed to 5% (E24) and 10% (E12):
http://en.wikipedia.org/wiki/Preferred_number

With better manufacturing tolerances, you can always sell higher-tolerance resistors as lower ones.
 


MATLABdude said:
I believe that if you're quoted 5%, the manufacturer guarantees that the resistors are within 5% of the nominal value (at some given temperature)--otherwise, they'd go into the next resistor size! I seem to always get better though.

The reason you don't see the 2% chopped out of the 5% (and the 1% chopped out of the 2%, and so forth) is that resistors are sold in various series. There are more 2% nominal resistor values available (E48) as opposed to 5% (E24) and 10% (E12):
http://en.wikipedia.org/wiki/Preferred_number

With better manufacturing tolerances, you can always sell higher-tolerance resistors as lower ones.

That makes some sense. It may depend on the manufacturing process; upon whether a part is tested or not. Without testing, periodic process checks would be preformed to see that process parameters are within limits, such that tolerance limits are met in the final product. In this case you'd expect a small fraction of items to leak outside the tolerence limits. So the curve might be more or less a normal distribution. With 100% testing, those that exceed spec would be kicked out. In this case the distribution would be normal, with the tails of the curve truncated.

It also depends on the quality of the people. I've worked for some crap companies, whos specs were bogus.

But this is a lot of semi-educated guess-work on my part. Wish I knew better.
 

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