Glossary Updates12 new terms added to the glossaries · October 2, 2026, 22:44 CEST
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Glossary · Sensors and measurement

Linearity

Also known as: Linearity error, Nonlinearity

German: Linearität

In measurement technology, linearity describes how closely the characteristic curve of a sensor or instrument follows a straight line between input and output; the linearity error is the maximum deviation from that line, usually in percent of span.

  • Sensors

In one sentence

Linearity describes how closely a sensor's output follows a straight line over its range; the linearity error is the largest deviation from it.

Example

A load cell datasheet states a linearity error of 0.02 % of rated output, determined with the best-fit straight line method.

How it applies

  • Engineering: Linearity figures depend on the reference line: terminal-based (through zero and full scale) or best-fit straight line. Best-fit figures look smaller, so compare devices only on the same basis.
  • Commissioning: Nonlinear sensors such as thermocouples, RTDs or tank volumes are linearized in the transmitter or controller with standard tables or characteristic curves.
  • Calibration: Multi-point calibration reveals nonlinearity that a two-point zero and span check cannot show.
  • Documentation: State the method behind a linearity figure and where linearization is applied. Linearizing twice, in both the transmitter and the controller, is a common configuration error.

Linearity vs. accuracy

Linearity is one component of the total error. Accuracy also includes Hysteresis, Repeatability, temperature effects and offset.

By knowledge.aitechdoc.world · Published September 26, 2026 · Last reviewed

Source: AI TechDoc Blog editorial definition, based on sensor datasheet and calibration practice

Definitions follow the cited standards and specifications. Where a source is a copyrighted publication, such as an ISO, IEC or EN standard, the definition is a close paraphrase, not a verbatim quotation, so as not to infringe copyright. We recommend reading the original publication. The sections “How it applies” are editorial commentary by AI TechDoc Blog and are not part of any standard.

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