Definition:
Uncertainty Analysis quantifies the variability and reliability of inputs, models, and assumptions in risk assessments. This may include sensitivity analysis, monte carlo simulation, or range estimations. It is a wider term beyond just functional safety.
This is a good way to have a process and document to defend important uncertainty decisions.
Key Points:
- Important for confidence in SIL assignment.
- Sources include failure rate data, human reliability, and modeling simplifications.
Example:
Assessing SIL verification by comparing risk results using low, median, and high failure rates from different databases to see the effect on required SIL level.
Cited Source:
- IEC 61508-6:2010, Annex B.