Resilience Engineering Research Group

Publications

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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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YI, YAPENG, ZHANG, ZHIWANG, CHEN, DIYI, ZHOU, RUI, PATELLI, EDOARDO and TOLO, SILVIA, 2018. State feedback predictive control for nonlinear hydro-turbine governing system: Journal of Vibration and Control Journal of Vibration and Control. 24(21), 4945-4959

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ZHANG, HAO, CHEN, DIYI, XU, BEIBEI, PATELLI, EDOARDO and TOLO, SILVIA, 2018. Dynamic analysis of a pumped-storage hydropower plant with random power load: Mechanical Systems and Signal Processing Mechanical Systems and Signal Processing. 100, 524-533

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YAN, RUNDONG, DUNNETT, S.J. and JACKSON, L.M., 2018. Novel methodology for optimising the design, operation and maintenance of a multi-AGV system Reliability Engineering & System Safety. 178(May), 130-139

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YAN, R.D., DUNNETT, S.J. and JACKSON, L.M., 2018. Optimising the maintenance strategy for a multi-AGV system using genetic algorithms. In: Safety and Reliability – Safe Societies in a Changing World CRC Press. 547-554

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CHIACHÍO, M., CHIACHÍO, J., PRESCOTT, D. and ANDREWS, J., 2018. A new paradigm for uncertain knowledge representation by Plausible Petri nets: Information Sciences Information Sciences. 453, 323-345
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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