Resilience Engineering Research Group

Publications

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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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REED, S., REMENYTE-PRESCOTT, R. and REES, B., 2017. Effect of venepuncture process design on efficiency and failure rates: A simulation model study for secondary care: International Journal of Nursing Studies International Journal of Nursing Studies. 68, 73-82

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KILSBY, P., REMENYTE-PRESCOTT, R. and ANDREWS, J., 2017. A modelling approach for railway overhead line equipment asset management: Reliability Engineering and System Safety Reliability Engineering and System Safety.

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VILEINISKIS, M. and REMENYTE-PRESCOTT, R., 2017. Quantitative risk prognostics framework based on Petri Net and Bow-Tie models: Reliability Engineering and System Safety Reliability Engineering and System Safety. 165, 62-73

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VAGNOLI, M., REMENYTE-PRESCOTT, R., THOMPSON, D., ANDREWS, J., CLARKE, P. and ATKINSON, N., 2017. A data mining tool for detecting and predicting abnormal behavior of railway tunnels

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GONZÁLEZ, A., HUSEYNOV, F., HEITNER, B., VAGNOLI, M., MOUGHTY, J. J., BARRIAS, A., MARTINEZ, D., CHEN, S., O'BRIEN, E., LAEFER, D., CASAS, J. R., REMENYTE-PRESCOTT, R., YALAMAS, T. and BROWNJOHN, J., 2017. Structural health monitoring developments in TRUSS Marie Skłodowska-curie innovative training network

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CHIACHIO M, CHIACHIO J, PRESCOTT DR and ANDREWS JD, 2016. An information theoretic approach for knowledge representation using Petri nets In: Future Technologies Conference (FTC) 2016, San Francisco 6th - 7th December.
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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