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

Hysteresis

Also known as: Switching hysteresis

German: Hysterese

In measurement and control, hysteresis is the difference in the output of a sensor or switching device for the same input value, depending on whether the input is rising or falling. In switches, it is often deliberately designed in to prevent chattering.

  • Sensors

In one sentence

Hysteresis is the difference in output for the same input depending on whether the input rises or falls, wanted in switches, unwanted in sensors.

Example

A level switch turns a pump on at 80 % and off at 20 %; the 60 % hysteresis prevents the pump from starting and stopping continuously.

How it applies

  • Engineering: In a measuring device, hysteresis is an error component and appears in datasheets together with Linearity and Repeatability. In switching functions and alarms, a defined hysteresis or deadband is designed in so that small fluctuations around a threshold do not cause repeated switching.
  • Commissioning: Too little hysteresis causes chattering outputs, contact wear and alarm floods; too much delays reactions. Set it according to the process dynamics.
  • Operation: Alarm deadbands are a form of hysteresis. They help reduce repeated alarms without hiding real conditions.
  • Documentation: State both switching points or the threshold plus the hysteresis. A single value such as switch at 5 bar leaves open when the output resets.

Hysteresis vs. repeatability

Hysteresis is a systematic difference between rising and falling input. Repeatability describes random scatter under the same conditions.

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

Source: AI TechDoc Blog editorial definition, based on measurement and control 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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