Glossary Updates12 new terms added to the glossaries · October 2, 2026, 22:44 CEST
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Glossary · Automation fundamentals, platforms and components

Reliability

German: Zuverlässigkeit

In dependability engineering, reliability is the ability of an item to perform as required, without failure, for a given time interval, under given conditions. It is often quantified by measures such as failure rate, mean time to failure (MTTF) or mean time between failures (MTBF).

  • Automation components
  • Standards

In one sentence

Reliability is the ability of an item to perform as required, without failure, for a given time under given conditions (IEC 60050-192).

Example

The pump supplier states an MTBF of 50,000 hours for continuous duty at 40 °C; at higher ambient temperatures the value is lower.

How it applies

  • Engineering: Reliability is designed in through component selection, derating, Redundancy and robust design, and is checked with analyses such as FMEA and reliability prediction.
  • Maintenance: Maintenance strategies use failure data to choose intervals; field data improves predicted values over time.
  • Documentation: Reliability figures are only meaningful with their conditions (duty cycle, temperature, load). Quote them together in data sheets and manuals.

Reliability vs. safety

A reliable machine rarely fails; a safe machine does not cause unacceptable risk, even when it fails. A very reliable function can still be unsafe, and a safety function may deliberately stop the machine and reduce availability. In functional safety, the relevant figure is the probability of dangerous failure, for example Mean time to dangerous failure (MTTFd), not overall reliability.

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

Source: IEC 60050-192:2015, International Electrotechnical Vocabulary — Part 192: Dependability

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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