Instrument Accuracy and Error: 4 Overlooked Facts Every Engineer Must Know

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Instrumentation Basics · Calibration · Accuracy · Error Analysis

Instrument Accuracy and Error: 4 Overlooked Facts Every Engineer Must Know

Two transmitters can carry the exact same accuracy percentage on their datasheet and still perform very differently in real engineering units. This guide explains instrument accuracy and error in plain terms, with a video walkthrough and a live error calculator.

Percent of Span vs Percent of Reading Accuracy vs Precision Turndown Ratio Live Error Calculator

Why Accuracy Specifications Are More Complicated Than They Look

Accuracy tells you how close a measurement is to the true value, while error is simply the difference between them. That sounds simple enough, but the way accuracy is expressed on a datasheet, as a percent of full span or a percent of actual reading, changes the real world error in engineering units dramatically, especially at low range.

Understanding instrument accuracy and error properly also means keeping it separate from precision, since a highly precise instrument can still be inaccurate if it consistently reads the wrong value. This distinction matters just as much for a dew point sensor as it does for a flow or pressure transmitter.

Analog pressure gauge used for instrument accuracy verification in a laboratory
Image: Analog pressure gauge for accuracy verification, via Pexels

The 4 Overlooked Facts Behind Instrument Accuracy and Error

1
Percent of span and percent of reading give very different results at low rangeThe same accuracy number produces a much larger relative error at low readings if it is expressed as percent of span rather than percent of reading.
2
Accuracy is not the same as precisionAn instrument can repeat the same wrong reading consistently, meaning it is precise but not accurate, and the two must be evaluated separately.
3
Total error often combines multiple error sourcesLinearity, hysteresis, repeatability, and temperature effects can all contribute, and combining them incorrectly overstates or understates real uncertainty.
4
Turndown ratio affects real world accuracyAn instrument ranged far beyond its actual operating flow or pressure will show a much larger error at typical operating conditions than its headline spec suggests.
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The Two Accuracy Specification Types

Almost every discussion of instrument accuracy and error eventually comes back to this one distinction.

🔵 Percent of Span (%FS)

Error is calculated as a fixed percentage of the instrument's full calibrated range, regardless of the actual reading.

Effect at low range: the same absolute error applies whether the reading is near zero or near full scale.

Constant absolute error
🟢 Percent of Reading

Error is calculated as a percentage of the actual measured value at that moment, so it shrinks as the reading gets smaller.

Effect at low range: absolute error is smaller near zero and larger near full scale.

Error scales with reading
🟠 Repeatability

How closely an instrument reproduces the same output when measuring the same input repeatedly under the same conditions.

Related to: precision, not accuracy on its own.

Consistency, not correctness
🟣 Linearity

How closely the instrument's output follows a straight line relationship with the actual input across its full range.

Poor linearity: creates errors that vary unpredictably across the measurement range.

A contributor to total error

In figure A is both accurate and precise: the darts are close to the bull’s – eye and close to each other.
In figure B, the set of results is inaccurate but precise: the darts are far from the bull’s – eye but close to each other.
In figure C, the set of results is both inaccurate and imprecise: the darts are far from the bull’s – eye and far from each other. Notice also that the darts are not evenly distributed around the bull’s – eye, so the set, even considered on average, is inaccurate.
In figure D, the set on average is accurate compared with the third case, but it is imprecise. That is because the darts are distributed evenly around the bull’s – eye but are far from each other.

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Watch: How to Calculate Transmitter Accuracy

This video explains reference accuracy and walks through calculating accuracy based on calibration range.

An instrument that is ranged far wider than its actual operating conditions will always look worse in real engineering units than its headline accuracy spec suggests. Matching the range to the real operating span is often the single biggest lever available. Turndown Ratio Quietly Decides Your Real World Accuracy

The Accuracy to Error Formulas

Converting accuracy percentage into engineering units: Percent of Span Error = (Accuracy % / 100) × Span

Percent of Reading Error = (Accuracy % / 100) × Actual Reading

Example: Pressure transmitter, span 0 to 100 bar, accuracy ±0.1% At 100 bar reading: %FS error = 0.1% x 100 = 0.1 bar (0.1% of reading) At 10 bar reading: %FS error = still 0.1 bar (now 1.0% of reading) Notice the absolute error in bar stays the same for a %FS specification, but as a percentage of the actual reading, it grows ten times larger at 10 bar compared to 100 bar. This is exactly why low range readings on a wide span instrument can be far less accurate in relative terms than the datasheet number implies.

Percent of Span vs Percent of Reading Comparison

Reading%FS Error (Absolute)%FS Error (as % of Reading)
100 bar (full scale)0.1 bar0.1%
50 bar0.1 bar0.2%
10 bar0.1 bar1.0%
5 bar0.1 bar2.0%
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Where Accuracy Specifications Matter Most

Instrument accuracy and error considerations show up across nearly every measurement application in a plant.

🌊
Flow Meter Accuracy Rating

Flow measurement is especially sensitive to turndown ratio and low range accuracy.

📉
Pressure Transmitter Accuracy

Wide ranged transmitters can show poor relative accuracy at low process pressures.

🌡
Temperature Sensor Accuracy

Accuracy specs often combine a fixed value with a percent of reading term here.

Weighing Scale Accuracy

Linearity across the full weighing range is critical for consistent accuracy.

🛢
Level Transmitter Accuracy

Tank inventory accuracy depends directly on the transmitter's real world error.

🧪
Calibration Lab Standards

Reference standards must be significantly more accurate than the device under test.

Working With Accuracy Specifications Correctly

✅ Do
  • Check whether accuracy is specified as %FS or % of reading: before comparing two instruments on paper.
  • Match instrument range to actual operating conditions: avoid an unnecessarily wide turndown ratio.
  • Combine independent error sources properly: using root sum square rather than simple addition, when appropriate.
  • Recalibrate on a defined schedule: since real world accuracy drifts over time.
⚠ Don't
  • Don't assume %reading accuracy at low flow equals %FS accuracy: they diverge significantly away from full scale.
  • Don't confuse accuracy with resolution: a fine display resolution does not guarantee true accuracy.
  • Don't ignore the difference between accuracy and repeatability: a consistent reading is not automatically a correct one.
  • Don't oversize instrument range beyond the needed turndown: it quietly degrades real accuracy at typical operating conditions.

Instrument Error Calculator

Enter your instrument's accuracy specification, span, and actual reading to calculate the resulting error.

📊
Accuracy to Error Calculator
Accuracy type, span and reading to absolute and relative error
example 0.1
%
example 100
example 10
✔ Result
Absolute error
Error as % of reading
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Quick FAQs: Instrument Accuracy and Error

What is the practical difference between accuracy and precision?
Accuracy describes how close a reading is to the true value, while precision describes how consistently the instrument repeats the same reading. An instrument can be precise without being accurate, and vice versa.
Why does percent of span accuracy look worse at low readings?
Because the absolute error stays fixed regardless of the reading, so as the actual reading gets smaller, that same fixed error represents a much larger percentage of the true value.
How should multiple independent error sources be combined?
When error sources are independent and random, they are often combined using the root sum square method, taking the square root of the sum of each error squared, rather than simply adding them together.
Does resolution affect accuracy?
Not directly. Resolution describes the smallest change a display can show, while accuracy describes how close that displayed value is to the true value. A fine resolution display can still be inaccurate.
Why does turndown ratio matter for accuracy?
An instrument ranged much wider than its typical operating conditions will show a larger relative error at those normal operating points, even though its headline accuracy specification has not changed.

External References

What we learn today

  • Instrument accuracy and error depend heavily on whether the spec is percent of span or percent of reading, and the two can give very different results.
  • Accuracy and precision are different concepts, an instrument can be consistently wrong or inconsistently right.
  • Total error often combines several sources, including linearity, repeatability, and temperature effects, and these should be combined carefully rather than simply added.
  • Matching an instrument's range to its real operating conditions, rather than oversizing it, protects real world accuracy at typical readings.
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