Abstract
This paper presents an approach for the evaluation of risk impact of Surveillance Requirement changes addressing identification, treatment and analysis of uncertainties in an integrated manner, which is intended to be used in an optimization context. It is also presented an example of application of the methodology to study a SF change of the Reactor Protection System of a Nuclear Power Plant.
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Acknowledgments
Authors are grateful to the Spanish Ministry of Science and Innovation for the financial support of this work (Research Project ENE2010-17449) and the Spanish Ministry of Economy and Competitiveness, Research Project MTM2013-42323.
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Martorell, S., Villamizar, M., Martón, I., Armero, C., Sánchez, A. (2015). An Approach for the Evaluation of Risk Impact of Changes Addressing Uncertainties in a Surveillance Requirement Optimization Context. In: Greiner, D., Galván, B., Périaux, J., Gauger, N., Giannakoglou, K., Winter, G. (eds) Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineering and Sciences. Computational Methods in Applied Sciences, vol 36. Springer, Cham. https://doi.org/10.1007/978-3-319-11541-2_30
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DOI: https://doi.org/10.1007/978-3-319-11541-2_30
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