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

Root-cause analysis

Also known as: RCA, Root cause analysis

German: Ursachenanalyse

In quality, reliability and safety management, root-cause analysis (RCA) is a systematic process for identifying the underlying causes of a failure, incident or problem, so that measures can remove them and prevent recurrence rather than treat only the symptoms.

  • Maintenance

In one sentence

Root-cause analysis systematically identifies the underlying causes of a failure or incident so they can be removed and recurrence prevented.

Example

After repeated jams, a root-cause analysis with a 5-why sequence and a cause-and-effect diagram reveals that a changed film supplier caused higher friction.

How it applies

  • Maintenance: RCA is used for recurring or costly failures, so that the fix addresses the cause instead of repeatedly replacing parts.
  • Engineering: Findings flow back into design, component selection and software, often through Operational feedback and change requests.
  • Safety: After incidents, RCA looks at technical, organizational and human factors. Labeling a cause as Human error is usually a starting point, not the end of the analysis.
  • Documentation: RCA often reveals unclear or missing instructions. The documentation team should be involved when a cause points to the manual, the HMI texts or training, and changes should be tracked to the incident.

Root-cause analysis vs. FMEA

RCA works backward from a failure that has happened. Failure Modes and Effects Analysis (FMEA) works forward, anticipating possible failures before they occur. Both use the same cause-and-effect thinking.

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

Source: IEC 62740, Root cause analysis (RCA)

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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