Abstract
The increasing complexity of industrial control systems and industrial processes makes it necesary to have the tools and techniques for reliability and safety analysis in these systems. In this paper, we survey the most frecuently used techniques in reliability and safety analysis of components and industrial processes. The methods surveyed are Fault Trees, Markov Models and Stochastics Petri nets. We study the characteristics and the main uses of these methods. The usefulness of the revised methods is demostrated in a model-based faul-detection, comparing a measurement system with redundant sensors and another with analytical redundancy.
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