Robust on-line diagnosis tool for the early accident detection in nuclear power plants

Silvia Tolo, Xiange Tian, Nils Bausch, Victor Becerra, T.V. Santhosh, G. Vinod and Edoardo Patelli

Reliability Engineering and System Safety, 2019, vol. 186, issue C, 110-119

Abstract: Any loss of coolant accident mitigation strategy is necessarily bound by the promptness of the break detection as well as the accuracy of its diagnosis. The availability of on-line monitoring tools is then crucial for enhancing safety of nuclear facilities. The requirements of robustness and short latency implied by the necessity for fast and effective actions are undermined by the challenges associated with break prediction during transients.

Keywords: LOCA; Neural networks; Pattern recognition; Bayesian statistics; Fault diagnostics; On-line condition monitoring (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (9)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:186:y:2019:i:c:p:110-119

DOI: 10.1016/j.ress.2019.02.015

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