Resilience Engineering Research Group

Publications

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SHENG J and PRESCOTT DR, 2017. A hierarchical coloured Petri net model of fleet maintenance with cannibalisation Reliab. Eng. Syst. Saf. 168, 290-305

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CLARKE S and PRESCOTT DR, 2017. Identifying the factors influencing track degradation on the UK rail network In: Stephenson Conference 2017: Research for Railways.

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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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JUAN CHIACHÍO, NICOLAS BOCHUD, MANUEL CHIACHÍO, SERGIO CANTERO and GUILLERMO RUS, 2017. A multilevel Bayesian method for ultrasound-based damage identification in composite laminates Mechanical Systems and Signal Processing. 88, 462 - 477

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LI, HUANHUAN, CHEN, DIYI, XU, BEIBEI, TOLO, SILVIA and PATELLI, EDOARDO, 2017. Dynamic analysis of multi-unit hydropower systems in transient process: Nonlinear Dynamics Nonlinear Dynamics. 90(1), 535-548

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PATELLI, EDOARDO, BROGGI, MATTO, TOLO, SILVIA and SADEGHI, JONATHAN, 2017. Cossan software: A multidisciplinary and collaborative software for uncertainty quantification

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TOLO, SILVIA, PATELLI, EDOARDO and BEER, MICHAEL, 2017. Risk assessment of spent nuclear fuel facilities considering climate change: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering. 3(2), G4016003

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TOLO, S, PATELLI, E and BEER, M, 2017. Sensitivity analysis for Bayesian networks with interval probabilities

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TOLO, SILVIA, PATELLI, EDOARDO and BEER, MICHAEL, 2017. Robust vulnerability analysis of nuclear facilities subject to external hazards: Stochastic Environmental Research and Risk Assessment Stochastic Environmental Research and Risk Assessment. 31(10), 2733-2756

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TOLO, SILVIA, PATELLI, EDOARDO and CHEN, DIYI, 2017. Vulnerability of hydropower installations to climate change: Preliminary study

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TOLO, SILVIA, SANTHOSH, TV, VINOD, GOPIKA, OPARAJI, UCHENNA and PATELLI, EDOARDO, 2017. Uncertainty quantification methods for neural networks pattern recognition

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YAN, RUNDONG, JACKSON, LISA M. and DUNNETT, SARAH J., 2017. Automated guided vehicle mission reliability modelling using a combined fault tree and Petri net approach The International Journal of Advanced Manufacturing Technology. 92(5-8), 1825-1837

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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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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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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