A Complex Network Analysis Approach for Risk Increase Factor Prediction in Nuclear Power Plants

Mouna Rifi, Mohamed Hibti, Rushed Kanawati

2018

Abstract

We explore applying network based metrics to predict safety metrics of components in Nuclear Power Plants (NPP). We first show how to model accident sequences as complex networks, then we conduct a statistical study over the main network metrics to show that these are highly correlated with the RIF (Risk Increase Factor) which is a very popular metric in nuclear safety studies.

Paper Citation

in Harvard Style

Rifi M., Hibti M. and Kanawati R. (2018). A Complex Network Analysis Approach for Risk Increase Factor Prediction in Nuclear Power Plants.In Proceedings of the 3rd International Conference on Complexity, Future Information Systems and Risk - Volume 1: COMPLEXIS, ISBN 978-989-758-297-4, pages 23-30. DOI: 10.5220/0006700000230030

in Bibtex Style

@conference{complexis18,
author={Mouna Rifi and Mohamed Hibti and Rushed Kanawati},
title={A Complex Network Analysis Approach for Risk Increase Factor Prediction in Nuclear Power Plants},
booktitle={Proceedings of the 3rd International Conference on Complexity, Future Information Systems and Risk - Volume 1: COMPLEXIS,},
year={2018},
pages={23-30},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006700000230030},
isbn={978-989-758-297-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Conference on Complexity, Future Information Systems and Risk - Volume 1: COMPLEXIS,
TI - A Complex Network Analysis Approach for Risk Increase Factor Prediction in Nuclear Power Plants
SN - 978-989-758-297-4
AU - Rifi M.
AU - Hibti M.
AU - Kanawati R.
PY - 2018
SP - 23
EP - 30
DO - 10.5220/0006700000230030