Understanding Absolute Error in Machine Measurements: The 1.3% Mystery Unveiled

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SUMMARY

The discussion centers on understanding absolute error in machine measurements, specifically addressing a reported error of 1.3%. Absolute error is defined as the difference between theoretical and measured values. The 1.3% error likely represents a relative error percentage derived from the absolute error, providing insight into the accuracy of the measurements. Clarification on the types of errors involved is essential for accurate interpretation and application in practical scenarios.

PREREQUISITES
  • Understanding of absolute and relative error concepts
  • Familiarity with theoretical vs. measured values in engineering
  • Basic knowledge of measurement techniques and tools
  • Experience with error analysis in machine performance
NEXT STEPS
  • Research the calculation of absolute and relative error in measurements
  • Explore common measurement techniques used in engineering
  • Study error analysis methods for machine performance evaluation
  • Examine case studies involving theoretical and measured value discrepancies
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Engineers, technicians, and quality control professionals involved in machine measurements and performance evaluation will benefit from this discussion.

Steve619
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In writing up on errors and knowing the error of the machine used (as told by the technician) as being 1.3%
where I have a table of theoretical and measured values,
The absolute error the difference between the theoretical and measured value, but where does the 1.3% error come into play?

And what type of error is it?
 
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Hello Steve, :welcome:

Could you give a bit more context ? What's this about ? And perhaps a few examples of measured and theoretical values ?
 

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