Resilience Engineering Research Group

Publications

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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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YIANNI, P. C., RAMA, D., NEVES, L. C., ANDREWS, J. D. and CASTLO, D., 2017. A Petri-Net-based modelling approach to railway bridge asset management: Structure and Infrastructure Engineering Structure and Infrastructure Engineering. 13(2), 287-297

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VILEINISKIS, M., REMENYTE-PRESCOTT, R., RAMA, D. and ANDREWS, J. D., 2017. Bayesian belief networks for fault detection and diagnostics of a three-phase separator

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MANUEL CHIACHÍO, JUAN CHIACHÍO, SHANKAR SANKARARAMAN, KAI GOEBEL and JOHN ANDREWS, 2017. A new algorithm for prognostics using Subset Simulation Reliability Engineering & System Safety. -

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ZHANG, Y., ANDREWS, J., REED, S. and KARLBERG, M., 2017. Maintenance processes modelling and optimisation: Reliability Engineering and System Safety Reliability Engineering and System Safety.

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YIANNI, P. C., RAMA, D., NEVES, L. C., ANDREWS, J. D. and CASTLO, D., 2017. A Petri-Net-based modelling approach to railway bridge asset management: Structure and Infrastructure Engineering Structure and Infrastructure Engineering. 13(2), 287-297

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YIANNI, P. C., RAMA, D., NEVES, L. C. and ANDREWS, J. D., 2017. Railway bridge asset management using a Petri-Net modelling approach

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VILEINISKIS, M., REMENYTE-PRESCOTT, R., RAMA, D. and ANDREWS, J. D., 2017. Bayesian belief networks for fault detection and diagnostics of a three-phase separator

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LE, B., ANDREWS, J. and FECAROTTI, C., 2017. A Petri net model for railway bridge maintenance: 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. 231(3), 306-323

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CHIACHIO, M., CHIACHIO, J., PRESCOTT, D. and ANDREWS, J., 2017. An information theoretic approach for knowledge representation using Petri nets

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ANDREWS, J. and FECAROTTI, C., 2017. System design and maintenance modelling for safety in extended life operation: Reliability Engineering and System Safety Reliability Engineering and System Safety. 163, 95-108

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M. VAGNOLI, R. REMENYTE-PRESCOTT and J. ANDREWS, 2017. Railway bridge fault detection using Bayesian belief network In: Proceedings of the IMechE Stephenson Conference: Research for Railways, London, 25th - 27th April 2017.
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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