Resilience Engineering Research Group

Publications

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SANTHOSH, TV, KUMAR, MITHILESH, VINOD, GOPIKA, TIAN, DAVID, COLANTUONO, GIUSEPPE, GORSE, CHRIS, DENG, JIAMEI, TIAN, XIANGE, BAUSCH, NILS and BECERRA, VICTOR M, 2019. Smart online monitoring for nuclear power plants (SMART)

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TOLO, SILVIA, TIAN, XIANGE, BAUSCH, NILS, BECERRA, VICTOR, SANTHOSH, TV, VINOD, GOPIKA and PATELLI, EDOARDO, 2019. Robust on-line diagnosis tool for the early accident detection in nuclear power plants: Reliability Engineering & System Safety Reliability Engineering & System Safety. 186, 110-119

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YI, Y, ZHANG, Z, CHEN, D, ZHOU, R, PATELLI, E and TOLO, S, 2019. State feedback predictive control for nonlinear hydro-turbine governing system (vol 24, pg 4945, 2018): Journal of Vibration and Control Journal of Vibration and Control. 25(12), 1895-1895

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YAN, RUNDONG, DUNNETT, SARAH and JACKSON, LISA, 2019. Maintenance Modelling of Complex Automated Guided Vehicle Systems In: 2019 Annual Reliability and Maintainability Symposium (RAMS). 1-6

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REED, S., LÖFSTRAND, M. and ANDREWS, J., 2019. An efficient algorithm for computing exact system and survival signatures of K-terminal network reliability: Reliability Engineering and System Safety Reliability Engineering and System Safety. 185, 429-439

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YIANNI, P. C., NEVES, L. C., RAMA, D., ANDREWS, J. D., TEDSTONE, N. and DEAN, R., 2019. Quantifying the impact of variability in railway bridge asset management

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VAGNOLI, M., REMENYTE-PRESCOTT, R. and ANDREWS, J., 2019. Structural health monitoring of bridges: A bayesian network approach

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YIANNI, P. C., NEVES, L. C., RAMA, D., ANDREWS, J. D., TEDSTONE, N. and DEAN, R., 2019. Quantifying the impact of variability in railway bridge asset management

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SHUKLA, D. K., JOHN ARUL, A., WOOTTON, M. J. and ANDREWS, J., 2019. Reliability analysis of a safety system using petri net and comparison with smart component methodology

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NAYBOUR, M., REMENYTE-PRESCOTT, R. and BOYD, M. J., 2019. Reliability and efficiency evaluation of a community pharmacy dispensing process using a coloured Petri-net approach: Reliability Engineering and System Safety Reliability Engineering and System Safety. 182, 258-268

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VAGNOLI, M., REMENYTE-PRESCOTT, R. and ANDREWS, J., 2019. Structural health monitoring of bridges: A bayesian network approach

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CHIACHIO M, CHIACHIO J, PRESCOTT DR and ANDREWS JD, 2018. A new paradigm for uncertain knowledge representation by Plausible Petri nets Inf. Sci. 453, 323-345

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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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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