BARRIER 1
PFDavg / PFH (Probabilistic Performance)
Proving the mathematical probability of failure on demand meets your target.
Bridge the gap between target risk reduction and reality with data-driven SIL Verification.
IEC 61511 is a performance risk-based standard, meaning compliance is not only about having the safety equipment in place — it requires you to determine the specific risk reduction target needed (SIL Determination) and then verify that your design achieves the SIL Target. This is SIL Verification.
If the SIL Verification process is not executed correctly, the results can affect your entire facility:
Stop over-engineering and start optimizing. With exida’s tools and expertise, you’ll gain a clear, data-driven view of your SIL Verification that is defensible and audit-ready.
exida's Approach
A common pitfall in SIL Verification is focusing solely on the calculation of PFDavg / PFH. exida’s solution ensures you meet the target SIL by simultaneously satisfying all three mandatory performance criteria:
BARRIER 1
Proving the mathematical probability of failure on demand meets your target.
BARRIER 2
Verifying that the hardware redundancy complies with IEC 61511 or IEC 61508 standards.
BARRIER 3
Ensuring the equipment is designed and manufactured with the quality required for the specific SIL using SIL certified devices.
The SIL achieved is only as strong as its weakest link. By taking the lowest of these three barriers (minimum selection), our solution guarantees a truly compliant and safe result.
Reference Asset
Download the full SIL Verification infographic — a one-page visual reference covering the three barriers and how exida’s solution ties them together.
What Gets in the Way
Designing a Safety Instrumented Function (SIF) is more than just a math exercise. Many teams find that manual calculations or generic tools lead to costly delays or, worse, a false sense of security.
Generic failure rates or optimistic assumptions can silently shift your SIL conclusion. exida ties calculations to field-proven data and transparent assumptions so results hold up in review.
Disconnected spreadsheets hide versioning issues, inconsistent formulas, and audit gaps. A structured verification workflow keeps assumptions, inputs, and outputs traceable.
Focusing only on dangerous failures ignores nuisance trips that erode trust in the safety system. Modeling and testing strategy should balance safety integrity with operational availability.
Teams can mis-apply architectural constraints or mix route requirements. Clear routing, automated constraint checks, and certified device data reduce interpretation risk.
Different calculators, rounding rules, and test intervals across sites make corporate roll-ups painful. Standardized methodology and shared libraries align sites to one defensible standard.
PFDavg alone is not enough — systematic capability and hardware fault tolerance matter. Verification should explicitly score the weakest barrier, not a single “passing” metric.
Stop wrestling with inconsistent data and complex hurdles. We provide you with a proven framework and the industry’s most trusted field-failure data to make your SIL verification seamless and defensible.
exida’s approach addresses each roadblock directly: validated SERH failure data, a structured workflow, and certified device libraries ensure your verification is traceable, methodology-consistent, and grounded in all three SIL criteria.
How exida Delivers
Move beyond a “Pass/Fail” result. Leverage the power of exSILentia® and our world-class engineering team to create actionable safety intelligence.
Direct access to the Safety Equipment Reliability Handbook, providing field-verified failure data for thousands of devices.
Support for complex voting logic (1oo2, 2oo3, MooN, etc.), SIL 3 safety functions, high-demand applications, batch processes, and diversified technology configurations.
Real-time validation against IEC 61511 architectural constraints or IEC 61508 (Route 1H and Route 2H).
Seamless data transfer from your LOPA and SRS (Safety Requirements Specification) directly into the verification engine.
Model the impact of Partial Stroke Testing (PST), varying proof test intervals, and imperfect proof testing (clean service, dirty service, tight shut-off). Automatically generate Proof Test documents.
If using unique or legacy equipment, perform a “Prior Use” or “Proven in Use” analysis to justify reliability data.
Models all key variables impacting PFDavg/PFH; understand how design decisions impact availability, redundancy, spurious trip rates, and proof test frequency. See site-specific improvements via exida SSI (site safety index).
Uses precise Markov Model rather than approximations — prevents over-design ($$$) or under-design (risk).
Automatically determine the correct factor for Common Cause Failure with the exSILentia Beta estimator tool.
Learn More
Deepen your knowledge with exida’s curated library of SIL Verification content.
Whether you are in the middle of a major capital project or managing the safety of an existing facility, exida has the tools and expertise to ensure your systems perform when it matters most.