Resilience Engineering Research Group

Publications

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YIANNI, P. C., NEVES, L. C., RAMA, D., ANDREWS, J. D. and DEAN, R., 2016. Incorporating local environmental factors into railway bridge asset management: Engineering Structures Engineering Structures. 128, 362-373

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VILEINISKIS, M., REMENYTE-PRESCOTT, R. and RAMA, D., 2016. Fault Detection of Railway Point Systems Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit. 230(3), 852-865

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VILEINISKIS, MARIUS, REMENYTE-PRESCOTT, RASA and RAMA, DOVILE, 2016. A fault detection method for railway point systems PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART F-JOURNAL OF RAIL AND RAPID TRANSIT. 230(3), 852-865

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VILEINISKIS, MARIUS, REMENYTE-PRESCOTT, RASA, RAMA, DOVILE and ANDREWS, JOHN, 2016. Fault detection and diagnostics of a three-phase separator: Journal of Loss Prevention in the Process Industries Journal of Loss Prevention in the Process Industries. 41, 215-230

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VILEINISKIS M and REMENYTE-PRESCOTT R, 2016. Extended Bow-Tie model for asset risk and reliability modeling: application to a passenger lift In: ESREL 2016, 25-29 Sept 2016, Glasgow, UK.

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PRESCOTT DR and ANDREWS JD, 2015. Investigating railway track asset management using a Markov analysis Proc. Inst. Mech. Eng. F J. Rail Rapid Transit. 229(4), 402-416

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J. CHIACHÍO, M. CHIACHÍO, A. SAXENA, S. SANKARARAMAN, G. RUS and K. GOEBEL, 2015. Bayesian model selection and parameter estimation for fatigue damage progression models in composites International Journal of Fatigue. 70, 361 - 373

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JUAN CHIACHÍO, MANUEL CHIACHÍO, SHANKAR SANKARARAMAN, ABHINAV SAXENA and KAI GOEBEL, 2015. Condition-based prediction of time-dependent reliability in composites Reliability Engineering & System Safety. 142, 134 - 147

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CHIACHÍO,J., SANKARARAMAN,S., CHIACHÍO,M., SAXENA,A. and GOEBEL,K., 2015. Prognostics design for structural health management. In: 234-273

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TOLO, S, PATELLI, E and BEER, M, 2015. Enhanced Bayesian network approach to sea wave overtopping hazard quantification

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TOLO, SILVIA, PATELLI, EDOARDO and BEER, MICHAEL, 2015. Risk assessment of spent fuel ponds subject to the risk of flooding

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TOLO, SILVIA, PATELLI, EDOARDO, BEER, MICHAEL and BROGGI, MATTEO, 2015. Enhanced bayesian networks approach to risk assessment of spent fuel ponds

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TOLO, SILVIA, PATELLI, EDOARDO, BEER, MICHAEL and KANG, ZHAN, 2015. A computational tool for Bayesian networks enhanced with reliability methods

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TREFOLINI, EMANUELE, TOLO, SILVIA, PATELLI, EDUARDO, BROGGI, MATTEO, DISPERATI, LEONARDO and LE TUAN, HAI, 2015. Uncertainty on shallow landslide hazard assessment: from field data to hazard mapping
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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