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Claudia Picoco

Publications and source records attributed to Claudia Picoco.

2 recordsLinked to original sources
arXiv2024

Modeling Common Cause Failure in Dynamic PRA

In this paper we propose a dynamic model of Common Cause Failures (CCF) that allows to generate common cause events in time. The proposed model is a generalization of Binomial Failure Rate Model (Atwood model) that can generate staggered failures of multiple components due to a common cause. We implement the model using statechart formalism, a similar implementation can be adopted in other modeling languages like Petri Nets or Hybrid Stochastic Automata. The presented model was integrated in a Dynamic PRA study.

cs.PF↗
arXiv2024

Impact of Generative AI (Large Language Models) on the PRA model construction and maintenance, observations

The rapid development of Large Language Models (LLMs) and Generative Pre-Trained Transformers(GPTs) in the field of Generative Artificial Intelligence (AI) can significantly impact task automation in themodern economy. We anticipate that the PRA field will inevitably be affected by this technology. Thus, themain goal of this paper is to engage the risk assessment community into a discussion of benefits anddrawbacks of this technology for PRA. We make a preliminary analysis of possible application of LLM inProbabilistic Risk Assessment (PRA) modeling context referring to the ongoing experience in softwareengineering field. We explore potential application scenarios and the necessary conditions for controlledLLM usage in PRA modeling (whether static or dynamic). Additionally, we consider the potential impact ofthis technology on PRA modeling tools.

cs.PF↗