Glossary Updates12 new terms added to the glossaries · October 2, 2026, 22:44 CEST
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Glossary · Automation software engineering and architecture

Fault handling

Also known as: Fault management

German: Störungsbehandlung

In automation and systems engineering, fault handling is the detection, reporting, reaction to and recovery from faults in hardware, software, communication or the process, so that a machine or system reaches and maintains a defined state and can be returned to operation in a controlled way.

  • Software engineering

In one sentence

Fault handling detects, reports and reacts to hardware, software or process faults and brings the system back to operation in a controlled way.

Example

When a drive reports an overcurrent fault, the fault handling stops the conveyor section, shows the drive fault on the HMI and requires acknowledgment and reset before restart.

How it applies

  • Engineering: Fault handling covers detection (monitoring, diagnostics, plausibility checks), classification, Fault reaction (stop, degrade, continue with warning) and recovery (acknowledgment, Reset function, restart). It is often structured by fault classes with defined reactions.
  • Operation: Operators need to understand what happened and what to do. Alarm texts, troubleshooting steps and clear reset conditions reduce downtime and prevent unsafe workarounds.
  • Documentation: Troubleshooting documentation, alarm lists and service procedures are the user-facing side of fault handling. The documentation team should work from the same fault list as developers, so every fault message has a documented cause, effect and remedy.

Fault handling vs. error handling

Error handling concerns errors inside software. Fault handling covers the whole machine, including hardware and process faults. Where faults can lead to hazards, the reaction is often implemented as a safety function under functional safety standards; standard fault handling does not replace it.

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

Source: AI TechDoc Knowledge editorial definition, based on automation engineering 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 Knowledge and are not part of any standard.

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