Resilience Engineering Research Group

Publications

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REEVES, J., REMENYTE-PRESCOTT, R., ANDREWS, J. and THORLEY, P., 2018. A sensor selection method using a performance metric for phased missions of aircraft fuel systems: Reliability Engineering and System Safety Reliability Engineering and System Safety. 180, 416-424

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REEVES, J., REMENYTE-PRESCOTT, R. and ANDREWS, J., 2018. Sensor selection for fault diagnostics using performance metric: Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability.

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CHIACHIO J, CHIACHIO M, SANKARARAMAN S and PRESCOTT DR, 2018. A Bayesian Assessment of an Approximate Model for Unconfined Water Flow in Sloping Layered Porous Media Transp. Porous Med.

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CHIACHIO M, CHIACHIO J, PRESCOTT DR and ANDREWS JD, 2018. Plausible Petri nets as self-adaptive expert systems: A tool for infrastructure asset monitoring Comput.-Aided Civ. Inf.

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CHIACHIO M, CHIACHIO J, PRESCOTT DR and ANDREWS JD, 2018. A methodology for railway track maintenance modelling using plausible Petri nets: http://iapsam.org/PSAM14/proceedings/paper/paper_192_1.pdf In: Probabilistic Safety Assessment and Management PSAM 14.

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CHIACHIO J, CHIACHIO M, PRESCOTT DR and ANDREWS JD, 2018. Modelling adaptive systems using plausible Petri nets In: 8th International Workshop on Reliable Engineering Computing, “Computing with Confidence”, REC2018. 103-109

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CHIACHIO J, CHIACHIO M, PRESCOTT DR and ANDREWS JD, 2018. A Bayesian assessment for railway track geometry degradation prognostics In: 4th European Conference of the Prognostics and Health Management Society 2018.

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LI, HUANHUAN, CHEN, DIYI, ARZAGHI, EHSAN, ABBASSI, ROUZBEH, XU, BEIBEI, PATELLI, EDOARDO and TOLO, SILVIA, 2018. Safety assessment of hydro-generating units using experiments and grey-entropy correlation analysis: Energy Energy. 165, 222-234

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LI, HUANHUAN, CHEN, DIYI, TOLO, SILVIA, XU, BEIBEI and PATELLI, EDOARDO, 2018. Hamiltonian Formulation and analysis for transient dynamics of multi-unit hydropower system: Journal of Computational and Nonlinear Dynamics Journal of Computational and Nonlinear Dynamics. 13(10),

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PATELLI, EDOARDO, TOLO, SILVIA, GEORGE-WILLIAMS, HINDOLO, SADEGHI, JONATHAN, ROCCHETTA, ROBERTO, DE ANGELIS, MARCO and BROGGI, MATTEO, 2018. Opencossan 2.0: an efficient computational toolbox for risk, reliability and resilience analysis

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TOLO, S, LITSKEVICH, DZIANIS, LAI, CHI KIN, FAULKE, DARREN, BOWMAN, DAVE, MERK, BRUNO, VIKHOREV, KONSTANTIN and PATELLI, EDOARDO, 2018. UNCERTAINTY IN DIGITAL REACTOR DESIGN

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TOLO, SILVIA, PATELLI, EDOARDO and BEER, MICHAEL, 2018. An open toolbox for the reduction, inference computation and sensitivity analysis of Credal Networks: Advances in Engineering Software Advances in Engineering Software. 115, 126-148

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TOLO, SILVIA, PATELLI, EDOARDO and BEER, MICHAEL, 2018. An inference method for bayesian networks with probability intervals

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TOLO, S, PATELLI, EDOARDO, SANTHOSH, TV, VINOD, GOPIKA and OPARAJI, UCHENNA, 2018. Robust On-Line LOCAs Diagnostics with Artificial Neural Networks

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XU, BEIBEI, CHEN, DIYI, TOLO, SILVIA, PATELLI, EDOARDO and JIANG, YANLONG, 2018. Model validation and stochastic stability of a hydro-turbine governing system under hydraulic excitations: International Journal of Electrical Power & Energy Systems International Journal of Electrical Power & Energy Systems. 95, 156-165
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Resilience Engineering Research Group

The University of Nottingham
Pavement Research Building
University Park
Nottingham, NG7 2RD


telephone: +44 (0)115 84 67366
email: r.remenyte-prescott@nottingham.ac.uk