Getting stuck chasing perfect failure rate data is one of the biggest obstacles to building effective system-level reliability models. Too often, engineers feel they can’t begin an FTA, FMECA, FMEDA, FMEA, or system reliability analysis until every component has precise, manufacturer-verified failure rates.
The reality? You don’t need perfect data to get meaningful results.
In this webinar, we take a practical, real-world look at how failure rate data actually impacts system-level models—and why its influence is usually much smaller than most engineers expect.
Using concrete examples, we explore:
-Why system architecture and design choices drive risk far more than small differences in component failure rates
-How “imperfect” or estimated data can still be highly valuable in early modeling
-Why your first model is only a starting point, not a final answer
-How waiting for perfect data can delay critical design decisions that improve reliability and safety
-Why system-level results often change far less than expected as data matures over time
You’ll walk away with a more confident, practical approach to reliability modeling—one that helps you move forward sooner, learn faster, and avoid data perfectionism. Ideal for reliability engineers, safety engineers, system designers, and anyone working with FTA, FMEA, FMEDA, MCS, RBD or system reliability models.
We look forward to your feedback!!
Best regards,
Jeremy Hynek
VP Business Development
Isograph Inc. | a PeakAvenue Company
375 S Main St, Alpine, UT 84004
Phone: 801 610 0049 | Mobile: 949 813 1284