| Railway bridge structural health monitoring and fault detection: State-of-the-art methods and future challenges M Vagnoli, R Remenyte-Prescott, J Andrews Structural Health Monitoring 17 (4), 971-1007, 2018 | 137 | 2018 |
| A fault detection method for railway point systems M Vileiniskis, R Remenyte-Prescott, D Rama Proceedings of the Institution of Mechanical Engineers, Part F: Journal of …, 2016 | 80 | 2016 |
| An efficient phased mission reliability analysis for autonomous vehicles R Remenyte-Prescott, JD Andrews, PWH Chung Reliability Engineering & System Safety 95 (3), 226-235, 2010 | 63 | 2010 |
| Pavement maintenance scheduling using genetic algorithms C Yang, R Remenyte-Prescott, JD Andrews International Journal of Performability Engineering 11 (2), 135, 2015 | 47 | 2015 |
| An enhanced component connection method for conversion of fault trees to binary decision diagrams R Remenyte-Prescott, JD Andrews Reliability engineering & system safety 93 (10), 1543-1550, 2008 | 45 | 2008 |
| Quantitative risk prognostics framework based on Petri Net and Bow-Tie models M Vileiniskis, R Remenyte-Prescott Reliability Engineering & System Safety 165, 62-73, 2017 | 44 | 2017 |
| A reliability analysis method using binary decision diagrams in phased mission planning DR Prescott, R Remenyte-Prescott, S Reed, JD Andrews, CG Downes Proceedings of the Institution of Mechanical Engineers, Part O: Journal of …, 2009 | 42 | 2009 |
| A simple component connection approach for fault tree conversion to binary decision diagram R Remenyte, JD Andrews First International Conference on Availability, Reliability and Security …, 2006 | 35 | 2006 |
| A modelling approach for railway overhead line equipment asset management P Kilsby, R Remenyte-Prescott, J Andrews Reliability Engineering & System Safety 168, 326-337, 2017 | 24 | 2017 |
| A systems reliability approach to decision making in autonomous multi-platform systems operating a phased mission JD Andrews, DR Prescott, R Remenyte-Prescott 2008 Annual Reliability and Maintainability Symposium, 8-14, 2008 | 22 | 2008 |
| Reliability and efficiency evaluation of a community pharmacy dispensing process using a coloured Petri-net approach M Naybour, R Remenyte-Prescott, MJ Boyd Reliability Engineering & System Safety 182, 258-268, 2019 | 20 | 2019 |
| An efficient real‐time method of analysis for non‐coherent fault trees R Remenyte‐Prescott, JD Andrews Quality and Reliability Engineering International 25 (2), 129-150, 2009 | 20 | 2009 |
| Analysis of non-coherent fault trees using ternary decision diagrams R Remenyte-Prescott, J Andrews Proceedings of the Institution of Mechanical Engineers, Part O: Journal of …, 2008 | 20 | 2008 |
| Fault detection and diagnostics of a three-phase separator M Vileiniskis, R Remenyte-Prescott, D Rama, J Andrews Journal of Loss Prevention in the Process Industries 41, 215-230, 2016 | 19 | 2016 |
| Fault tree conversion to binary decision diagrams JD Andrews, R Remenyte © System Safety Society, 2005 | 15 | 2005 |
| Review of infrastructure asset management methods for networked systems R Remenyte-Prescott, J Andrews 19th AR2TS, Advances in Risk and Reliability Technology Symposium, UK, 2013 | 13 | 2013 |
| Qualitative analysis of complex modularized fault trees using binary decision diagrams R Remenyte, JD Andrews Proceedings of the Institution of Mechanical Engineers, Part O: Journal of …, 2006 | 12 | 2006 |
| Effect of venepuncture process design on efficiency and failure rates: A simulation model study for secondary care S Reed, R Remenyte-Prescott, B Rees International journal of nursing studies 68, 73-82, 2017 | 10 | 2017 |
| Guided waves-based damage identification in plates through an inverse Bayesian process W Wu, MK Malik, S Cantero-Chinchilla, T Lawrie, WJ Yan, G Tanner, ... Ultrasonics 125, 106773, 2022 | 9 | 2022 |
| A fuzzy-based Bayesian Belief Network approach for railway bridge condition monitoring and fault detection M Vagnoli, R Remenyte-Prescott, J Andrews Proc. European Safety and Reliability ESREL2017, 18-22, 2017 | 9 | 2017 |
Matteo VagnoliThe University of NottinghamVerified email at nottingham.ac.uk
