The Most Common Fault Tree Analysis Mistakes

The most dangerous Fault Tree Analysis mistakes aren't the ones that cause the software to fail, they're the ones that produce perfectly reasonable-looking answers that are wrong.

Even experienced Fault Tree Analysis (FTA) practitioners can make modeling mistakes that produce misleading results. Many of these errors don't generate warnings or obvious calculation problems—they simply produce incorrect answers.

In this webinar, we'll walk through some of the most common mistakes we see in real-world Fault Tree models. You'll learn how seemingly small modeling decisions can significantly overestimate or underestimate system probability of failure, hide important failure mechanisms, or produce unexpected quantitative results.

Topics include:

  • When OR gates are overused and how they can hide the true system logic
  • The importance of Common Events and Common Gates, and how copy-and-paste mistakes can distort results
  • Why Rate-MTTR models should not be used for non-repairable failures
  • Common Cause Failure (CCF) modeling mistakes that can dramatically change calculated probabilities
  • The correct interpretation of voting logic (MooN) and why functional safety conventions can cause confusion in Fault Tree Analysis
  • How to correctly model mutually exclusive events to ensure accurate minimal cut sets and quantitative results

Throughout the webinar, we'll demonstrate each mistake with practical examples in FaultTree+, showing both the incorrect model and the correct approach. Whether you're new to Fault Tree Analysis or have been building models for years, you'll leave with practical techniques to improve the accuracy, credibility, and defensibility of your analyses.

If you have any questions or need additional information, please feel free to contact us.

Best regards,

Jeremy Hynek

VP Business Development

Isograph Inc. | a PeakAvenue Company 

375 S Main St, Alpine, UT 84004

Phone: 801 610 0049

Jeremy.Hynek@peakavenue.com | Website | LinkedIn

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