Abstract
State-space modeling is useful for prognostics of safety-critical systems. However, building such a model that embeds all the system requirements is a challenge. Furthermore, it requires expertise and hence isn't easily understood by all the stakeholders. UML can handle these challenges. A proposed approach converts a UML model into a state-space model. Researchers validated this approach on 13 safety-critical systems for nuclear power plants, focusing on the emergency core cooling system.
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