Safety and reliability analysis often relies on predictive modeling to assess risks and improve system performance. The Markov technique provides a state-based modeling approach that improves the accuracy of risk, reliability, and safety assessments. This article explores how Markov models work, their applications, and key advantages in industries where failure prevention is critical.

In safety-critical industries, balancing safety and availability is essential. Whether you’re in oil and gas, chemical processing, or power generation, your systems must be both safe and reliable. While most engineers focus heavily on safety integrity, process availability is equally important.

This is why we at Risknowlogy invented the Spurious Trip Level (STL)—to help companies measure and control the risk of unnecessary system shutdowns. In this article, we'll explain why spurious trips are not just an inconvenience but a significant safety risk, and how STL can help optimize both safety and reliability.