Math Related
This collection of articles explores the mathematical foundations necessary for accurate SIL assessment, including probability of failure on demand (PFD) calculations, Markov modeling, reliability prediction, and diagnostic coverage analysis.

How to Apply the Beta Factor: A Practical Guide to Common Cause Failures in SIL Verification
Learn how to apply the beta factor (β) in SIL verification and understand its link to common cause failures. This…
Spurious Trip Rate Explained: 6 Facts Every Functional Safety Engineer Should Know
Spurious Trip Rate (STR) is often overlooked in functional safety. Learn what STR is, how it’s calculated, and why balancing…
How to Use Proof Test Coverage (Cpt) to Improve PFDavg
Proof test coverage (Cpt) plays a major role in determining whether a SIF meets its target SIL. This article explains…
How MTTR Affects Your SIL Calculations: A Beginner’s Guide to Mean Time to Restore
Learn how MTTR (Mean Time to Restore) fits into PFDavg and STR in IEC 61511 compliance. A clear, beginner-friendly guide…
PFDavg Explained: 6 Essentials for Getting Started with SIL Calculations
This beginner-friendly guide explains what PFDavg (Probability of Failure on Demand) means in functional safety, how it's calculated, and why…
Proof Testing of SIFs: Understanding Its 3 Purposes and Its Importance
Proof testing ensures your Safety Instrumented Functions (SIFs) work when needed by uncovering hidden faults. Learn why proof tests are…





