Outputs (59)

A novel fault detection and diagnostic Petri net methodology for dynamic systems (2023)
Journal Article
Badmus, T. A., Remenyte-Prescott, R., & Prescott, D. (in press). A novel fault detection and diagnostic Petri net methodology for dynamic systems. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, https://doi.org/10.1177/1748006x231212539

Faults can have significant, negative impacts on the operation and performance of simple and complex dynamic systems. Based on the integration of Bayesian network diagnostic features with Petri net formalism, the existing Bayesian-supported Petri net... Read More about A novel fault detection and diagnostic Petri net methodology for dynamic systems.

Intelligent and adaptive asset management model for railway sections using the iPN method (2023)
Journal Article
Saleh, A., Remenyte-Prescott, R., Prescott, D., & Chiachío, M. (2024). Intelligent and adaptive asset management model for railway sections using the iPN method. Reliability Engineering and System Safety, 241, Article 109687. https://doi.org/10.1016/j.ress.2023.109687

The maintenance strategy in railway transportation is crucial in ensuring safety, availability, and reducing operating costs. However, finding the optimal maintenance plan that takes into account the complex relationships between ra... Read More about Intelligent and adaptive asset management model for railway sections using the iPN method.

Identifying Variation in the Newborn Life Support Procedure: An Automated Method (2023)
Conference Proceeding
Tan, A., Remenyte-Prescott, R., Egede, J., Valstar, M., & Sharkey, D. (2023). Identifying Variation in the Newborn Life Support Procedure: An Automated Method. In M. P. Brito, T. Aven, P. Baraldi, M. Čepin, & E. Zio (Eds.), Proceedings of the 33rd European Safety and Reliability Conference (ESREL 2023) (607-614)

This research is conducted for developing an automated method to recognize variations in the Newborn Life Support (NLS) procedure. Compliance with the NLS standard guideline is essential to prevent any adverse consequences for the newborn. Video reco... Read More about Identifying Variation in the Newborn Life Support Procedure: An Automated Method.

An asset management framework for wind turbine blades considering reliability of monitoring system (2023)
Presentation / Conference
Wu, W., Prescott, D., Remenyte-Prescott, R., Saleh, A., & Chiachio Ruano, M. (2023, September). An asset management framework for wind turbine blades considering reliability of monitoring system. Presented at 33rd European Safety and Reliability Conference (ESREL 2023), Southampton, UK

In this study, a wind turbine (WT) blade asset management (AM) Petri net (PN) model is presented, which incorporates risk-based maintenance and structural health monitoring (SHM). Firstly, PN modules cover the entirety of the blade AM process, descri... Read More about An asset management framework for wind turbine blades considering reliability of monitoring system.

Perception on landslide risk in Malaysia: A comparison between communities and experts' surveys (2023)
Journal Article
Sim, K. B., Lee, M. L., RemenytePrescott, R., & Wong, S. Y. (2023). Perception on landslide risk in Malaysia: A comparison between communities and experts' surveys. International Journal of Disaster Risk Reduction, 95, Article 103854. https://doi.org/10.1016/j.ijdrr.2023.103854

Surveys and interviews were conducted in the present study among the public and landslide experts from various sectors in Malaysia to study their perception towards landslide risk in the country. Utilizing a questionnaire survey and interviews can pr... Read More about Perception on landslide risk in Malaysia: A comparison between communities and experts' surveys.

Improving the Modelling Capability of an Integrated Fault Detection and Diagnostic Petri Net Methodology for Dynamic Systems (2023)
Conference Proceeding
Badmus, T. A., Prescott, D., & Remenyte-Prescott, R. (2023). Improving the Modelling Capability of an Integrated Fault Detection and Diagnostic Petri Net Methodology for Dynamic Systems.

The existing Generalised Stochastic Petri Net and modified Bayesian Stochastic Petri Net (GSPN-mBSPN) methodology has demonstrated improved modelling capabilities for fault diagnosis in dynamic systems with feedback control loops. However, the GSPN-m... Read More about Improving the Modelling Capability of an Integrated Fault Detection and Diagnostic Petri Net Methodology for Dynamic Systems.

A GIS based approach for predicting pavement deterioration on the UK road network (2023)
Conference Proceeding
Corker, J., Remenyte-Prescott, R., Eskandari Torbaghan, M., & Ninic, J. (2023). A GIS based approach for predicting pavement deterioration on the UK road network.

The U.K. Road network is a complex and dynamic system, managed by a federated network of organizations, often with stringent constraints on resourcing. Remediating deterioration of the network is both costly and politically sensitive; resilience, sus... Read More about A GIS based approach for predicting pavement deterioration on the UK road network.

A general approach for evaluating SHM system reliability with sensor failures (2023)
Conference Proceeding
Wu, W., Cantero-Chinchilla, S., Remenyte-Prescot, R., Prescott, D., Saleh, A., Chiachio Ruano, M., & Chronopoulos, D. (2023). A general approach for evaluating SHM system reliability with sensor failures.

Structural health monitoring (SHM) systems involve implementing damage identification strategies to determine health states of structures. However, it is important to pay close attention to the degradation of the SHM itself, especially the effect of... Read More about A general approach for evaluating SHM system reliability with sensor failures.

A modelling approach to studying variations in newborn life support procedure (2023)
Journal Article
Tan, A., Remenyte-Prescott, R., Valstar, M., & Sharkey, D. (2023). A modelling approach to studying variations in newborn life support procedure. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, https://doi.org/10.1177/1748006X231173595

Variations in clinical practice are common. However, some variations may cause undesired consequences. Careful consideration of their causes and effects is necessary to assure the quality of healthcare delivery. A modelling approach that could captur... Read More about A modelling approach to studying variations in newborn life support procedure.

Damage Quantification and Identification in Structural Joints through Ultrasonic Guided Wave-Based Features and an Inverse Bayesian Scheme (2023)
Journal Article
Wu, W., Cantero-Chinchilla, S., Yan, W. J., Chiachio Ruano, M., Remenyte-Prescott, R., & Chronopoulos, D. (2023). Damage Quantification and Identification in Structural Joints through Ultrasonic Guided Wave-Based Features and an Inverse Bayesian Scheme. Sensors, 23(8), Article 4160. https://doi.org/10.3390/s23084160

In this paper, defect detection and identification in aluminium joints is investigated based on guided wave monitoring. Guided wave testing is first performed on the selected damage feature from experiments, namely, the scattering coefficient, to pro... Read More about Damage Quantification and Identification in Structural Joints through Ultrasonic Guided Wave-Based Features and an Inverse Bayesian Scheme.

Ant colony optimisation of a community pharmacy dispensing process using Coloured Petri-Net simulation and UK pharmacy in-field data (2022)
Journal Article
Naybour, M. T., Remenyte-Prescott, R., & Boyd, M. (2024). Ant colony optimisation of a community pharmacy dispensing process using Coloured Petri-Net simulation and UK pharmacy in-field data. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 238(1), 29-43. https://doi.org/10.1177/1748006X221135459

There are 11,619 community pharmacies in England which dispense over 1 billion prescriptions each year, providing essential primary care to NHS (National Health Service) patients. These pharmacies are facing pressure from a number of sources includin... Read More about Ant colony optimisation of a community pharmacy dispensing process using Coloured Petri-Net simulation and UK pharmacy in-field data.

Modelling Variations in Newborn Life Support Procedure Using Colored Petri Nets (2022)
Conference Proceeding
Leva, M. C., Patelli, E., Podofillini, L., Wilson, S., Tan, A., Remenyte-Prescott, R., …Sharkey, D. (2022). Modelling Variations in Newborn Life Support Procedure Using Colored Petri Nets. In M. Chiara Leva, E. Patelli, L. Podofillini, & S. Wilson (Eds.), Proceedings of the 32nd European Safety and Reliability Conference (ESREL 2022) (489-496). https://doi.org/10.3850/978-981-18-5183-4_R12-08-152-cd

This research is conducted to study variations in the Newborn Life Support procedure. This procedure follows an evidence-based protocol to resuscitate and stabilize newborn babies requiring assistance at birth. Errors and ineffective actions in this... Read More about Modelling Variations in Newborn Life Support Procedure Using Colored Petri Nets.

Asset management modelling approach integrating structural health monitoring data for composite components of wind turbine blades (2022)
Conference Proceeding
Wu, W., Saleh, A., Remenyte-Prescott, R., Prescott, D., Ruano, M. C., & Chronopoulos, D. (2022). Asset management modelling approach integrating structural health monitoring data for composite components of wind turbine blades. In Proceedings of the 32nd European Safety and Reliability Conference (ESREL 2022) (1385-1392). https://doi.org/10.3850/978-981-18-5183-4_R22-24-242-cd

Optimal asset management strategies for wind turbine blades help to reduce their operation and maintenance costs, and ensure their reliability and safety. Structural health monitoring (SHM) can determine the health state of wind turbine blades throug... Read More about Asset management modelling approach integrating structural health monitoring data for composite components of wind turbine blades.

Advances in Modelling to Improve Network Resilience: Proceedings of the 60th ESReDA Seminar (2022)
Conference Proceeding
Remenyte-Prescott, R., Sanderson, K., Kopustinskas, V., & Simola, K. (2022). Advances in Modelling to Improve Network Resilience: Proceedings of the 60th ESReDA Seminar. . https://doi.org/10.2760/503700

These proceedings are the outcome of the 60th ESReDA seminar “Advances in Modelling to Improve Network Resilience” that took place at the Université Grenoble Alpes in France, on 4-5 May in 2022. A broad spectrum of resilience topics were covered, wit... Read More about Advances in Modelling to Improve Network Resilience: Proceedings of the 60th ESReDA Seminar.

An automatic bridge damage diagnostics method using empirical mode decomposition based health indicators and neuro-fuzzy classification (2022)
Journal Article
Vagnoli, M., & Remenyte-Prescott, R. (2022). An automatic bridge damage diagnostics method using empirical mode decomposition based health indicators and neuro-fuzzy classification. Structural Control and Health Monitoring, 29(10), Article e3027. https://doi.org/10.1002/stc.3027

Large amounts of data are generated by structural health monitoring systems continuously. Data-driven methods can transform the available data into valuable information for decision makers. However, these methods for structural health monitoring of b... Read More about An automatic bridge damage diagnostics method using empirical mode decomposition based health indicators and neuro-fuzzy classification.

Guided waves-based damage identification in plates through an inverse Bayesian process (2022)
Journal Article
Wu, W., Malik, M. K., Cantero-Chinchilla, S., Lawrie, T., Yan, W. J., Tanner, G., …Chronopoulos, D. (2022). Guided waves-based damage identification in plates through an inverse Bayesian process. Ultrasonics, 125, Article 106773. https://doi.org/10.1016/j.ultras.2022.106773

The use of guided waves to identify damage has become a popular method due to its robustness and fast execution, as well as the advantage of being able to inspect large areas and detect minor structural defects. When a travelling wave on a plate inte... Read More about Guided waves-based damage identification in plates through an inverse Bayesian process.

Updating conditional probabilities of Bayesian belief networks by merging expert knowledge and system monitoring data (2022)
Journal Article
Vagnoli, M., & Remenyte-Prescott, R. (2022). Updating conditional probabilities of Bayesian belief networks by merging expert knowledge and system monitoring data. Automation in Construction, 140, Article 104366. https://doi.org/10.1016/j.autcon.2022.104366

Bayesian Belief Network (BBN) methods can be adopted for reliability analysis and real-time monitoring of critical infrastructure. Conditional Probability Tables (CPTs) are used to describe the dependencies between nodes in the BBN. The CPTs are usua... Read More about Updating conditional probabilities of Bayesian belief networks by merging expert knowledge and system monitoring data.

A Bayesian Belief Network method for bridge deterioration detection (2020)
Journal Article
Vagnoli, M., Remenyte-Prescott, R., & Andrews, J. (2021). A Bayesian Belief Network method for bridge deterioration detection. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 235(3), 338-355. https://doi.org/10.1177/1748006X20979225

Bridges are one of the most important assets of transportation networks. A closure of a bridge can increase the vulnerability of the geographic area served by such networks, as it reduces the number of available routes. Condition monitoring and deter... Read More about A Bayesian Belief Network method for bridge deterioration detection.

Modelling Reliability and Efficiency of English Community Pharmacy Processes (2020)
Conference Proceeding
Naybour, M., Remenyte-Prescott, R., & Boyd, M. (2020). Modelling Reliability and Efficiency of English Community Pharmacy Processes. In Proceedings: 2020 Annual Symposium on Reliability and Maintainability (RAMS) (1-7). https://doi.org/10.1109/RAMS48030.2020.9153661

© 2020 IEEE. The research reported in this paper describes a Coloured Petri Net (CPN) method for modelling and analysing reliability and efficiency of the dispensing process in English community pharmacies. The results of CPN simulations are used wit... Read More about Modelling Reliability and Efficiency of English Community Pharmacy Processes.

Ant colony optimisation for community pharmacy dispensing process based on infield observations (2019)
Conference Proceeding
Naybour, M., Remenyte-Prescott, R., & Boyd, M. (2019). Ant colony optimisation for community pharmacy dispensing process based on infield observations. In Proceedings of the 29th European Safety and Reliability Conference (ESREL) (4249-4256). https://doi.org/10.3850/978-981-11-2724-3_0465-cd

he community pharmacy dispensing process is an integral part of delivering effective primary care to patients around the world. However, dispensing error rates and related patient safety issues are always a concern in the sector, where studies have f... Read More about Ant colony optimisation for community pharmacy dispensing process based on infield observations.

Application of Network-level Traffic Flow Model to Road Maintenance in China (2019)
Journal Article
Yang, C., Zhang, X., & Remenyte-Prescott, R. (2020). Application of Network-level Traffic Flow Model to Road Maintenance in China. Infrastructure Asset Management, 7(4), 297-306. https://doi.org/10.1680/jinam.18.00041

This paper shows how to simulate highway traffic flows using a Network-level Traffic Flow Model (NTFM) for both urban and motorway road networks. It highlights how road maintenance works can be modelled using a roadwork node in the network, and how t... Read More about Application of Network-level Traffic Flow Model to Road Maintenance in China.

Ant colony optimisation for community pharmacy dispensing process based on in-field observations (2019)
Conference Proceeding
Naybour, M., Remenyte-Prescott, R., & Boyd, M. (2019). Ant colony optimisation for community pharmacy dispensing process based on in-field observations. In M. Beer, & E. Zio (Eds.), Proceedings of the 29th European Safety and Reliability Conference (ESREL 2019), 4249-4257. https://doi.org/10.3850/978-981-11-2724-3_+0465-cd

The community pharmacy dispensing process is an integral part of delivering effective primary care to patients around the world. However, dispensing error rates and related patient safety issues are always a concern in the sector, where studies have... Read More about Ant colony optimisation for community pharmacy dispensing process based on in-field observations.

Sensor selection for fault diagnostics using performance metric (2018)
Journal Article
Andrews, J., Reeves, J., Reeves, J., Remenyte-Prescott, R., & Andrews, J. (2018). Sensor selection for fault diagnostics using performance metric. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 233(4), 537-552. https://doi.org/10.1177/1748006X18804690

As technology advances, modern systems are becoming increasingly complex, consisting of large numbers of components, and therefore large numbers of potential component failures. These component failures can result in reduced system performance, or ev... Read More about Sensor selection for fault diagnostics using performance metric.

Reliability and efficiency evaluation of a community pharmacy dispensing process using a coloured Petri-net approach (2018)
Journal Article
Naybour, M., Remenyte-Prescott, R., & Boyd, M. J. (2019). Reliability and efficiency evaluation of a community pharmacy dispensing process using a coloured Petri-net approach. Reliability Engineering and System Safety, 182, 258-268. https://doi.org/10.1016/j.ress.2018.09.022

© 2018 It has been estimated that European customers visit community pharmacies to access essential primary healthcare around 46 million times every day. Studies of dispensing error rates in community pharmacies have reported error rates of between 0... Read More about Reliability and efficiency evaluation of a community pharmacy dispensing process using a coloured Petri-net approach.

A sensor selection method using a performance metric for phased missions of aircraft fuel systems (2018)
Journal Article
Reeves, J., Remenyte-Prescott, R., Andrews, J., & Thorley, P. (2018). A sensor selection method using a performance metric for phased missions of aircraft fuel systems. Reliability Engineering and System Safety, https://doi.org/10.1016/j.ress.2018.07.029

Component failures in complex systems, such as aircraft fuel systems, can have catastrophic effects on system performance. There are a large number of components in these systems, each with a number of different failure modes, some of which can cause... Read More about A sensor selection method using a performance metric for phased missions of aircraft fuel systems.

An ensemble-based change-point detection method for identifying unexpected behaviour of railway tunnel infrastructures (2018)
Journal Article
Vagnoli, M., & Remenyte-Prescott, R. (2018). An ensemble-based change-point detection method for identifying unexpected behaviour of railway tunnel infrastructures. Tunnelling and Underground Space Technology, 81, 68-82. https://doi.org/10.1016/j.tust.2018.07.013

A large amount of data is generated by Structural Health Monitoring (SHM) systems and, as a consequence, processing and interpreting this data can be difficult and time consuming. Particularly, if work activities such as maintenance or modernization... Read More about An ensemble-based change-point detection method for identifying unexpected behaviour of railway tunnel infrastructures.

Evaluation of a community pharmacy dispensing process using a coloured Petri Net (2018)
Conference Proceeding
Naybour, M. T., Remenyte-Prescott, R., & Boyd, M. J. (2018). Evaluation of a community pharmacy dispensing process using a coloured Petri Net. In S. Haugen, A. Barros, C. van Gulijk, T. Kongsvik, & J. E. Vinnem (Eds.), Safety and Reliability : Safe Societies in a Changing World : Proceedings of ESREL 2018, June 17-21, 2018, Trondheim, Norway (2059-2066). https://doi.org/10.1201/9781351174664-259

UK customers visited community pharmacies to receive NHS prescriptions 1.104 billion times in 2016. One study of dispensing errors found an error rate of 3.3%. Severe dispensing inaccuracies often receive a high level of media attention, however, low... Read More about Evaluation of a community pharmacy dispensing process using a coloured Petri Net.

Reliability modelling of dispensing processes in community pharmacy (2018)
Conference Proceeding
Naybour, M., Remenyte-Prescott, R., & Boyd, M. (2018). Reliability modelling of dispensing processes in community pharmacy. In Proceedings of the 10th IMA International Conference on Modelling in Industrial Maintenance and Reliability. https://doi.org/10.19124/ima.2018.001.18

Studies of error rates in community pharmacies have reported error rates of between 0.014% and 3.3% per item dispensed. This suggests up to 36 million items per year may contain errors in England. In addition, literature shows that patient satisfacti... Read More about Reliability modelling of dispensing processes in community pharmacy.

Two probabilistic life-cycle maintenance models for the deteriorating pavement (2018)
Journal Article
Cheng, Z., & Remenyte-Prescott, R. (2018). Two probabilistic life-cycle maintenance models for the deteriorating pavement. Eksploatacja i Niezawodnosc, 20(3), 394-404. https://doi.org/10.17531/ein.2018.3.7

© 2018, Polish Academy of Sciences Branch Lublin. All rights reserved. Pavement maintenance management poses a significant challenge for highway agencies in terms of pavement deterioration over time and limited financial resources to keep the road co... Read More about Two probabilistic life-cycle maintenance models for the deteriorating pavement.

A Petri Net-based life cycle cost analysis approach (2018)
Journal Article
Kilsby, P., Remenyte-Prescott, R., & Andrews, J. (2019). A Petri Net-based life cycle cost analysis approach. Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, 233(1), 90-102. https://doi.org/10.1177/0954409718780106

Railway infrastructure providers, such as Network Rail, who owns and manages the British railway infrastructure, can improve the performance and reduce the life cycle cost of their assets through delivering effective asset management. Having the capa... Read More about A Petri Net-based life cycle cost analysis approach.

A data mining tool for detecting and predicting abnormal behaviour of railway tunnels (2017)
Conference Proceeding
Vagnoli, M., Remenyte-Prescott, R., Thompson, D., Andrews, J., Clarke, P., & Atkinson, N. (2017). A data mining tool for detecting and predicting abnormal behaviour of railway tunnels.

The UK railway network is subjected to an electrification process that aims to electrify most of the network by 2020. This upgrade will improve the capacity, reliability and efficiency of the transportation system by providing cleaner, quicker and mo... Read More about A data mining tool for detecting and predicting abnormal behaviour of railway tunnels.

Railway bridge structural health monitoring and fault detection: state-of-the-art methods and future challenges (2017)
Journal Article
Vagnoli, M., Remenyte-Prescott, R., & Andrews, J. (2018). Railway bridge structural health monitoring and fault detection: state-of-the-art methods and future challenges. Structural Health Monitoring, 17(4), https://doi.org/10.1177/1475921717721137

Railway importance in the transportation industry is increasing continuously, due to the growing demand of both passenger travel and transportation of goods. However, more than 35% of the 300,000 railway bridges across Europe are over 100-years old,... Read More about Railway bridge structural health monitoring and fault detection: state-of-the-art methods and future challenges.

Towards a real-time Structural Health Monitoring of railway bridges (2017)
Conference Proceeding
Vagnoli, M., Remenyte-Prescott, R., & Andrews, J. (2017). Towards a real-time Structural Health Monitoring of railway bridges.

More than 350,000 railway bridges are present on the European railway network, making them a key infrastructure of the whole railway network. Railway bridges are continuously exposed to changing environmental threats, such as wind, floods and traffic... Read More about Towards a real-time Structural Health Monitoring of railway bridges.

A fuzzy-based Bayesian Belief Network approach for railway bridge condition monitoring and fault detection (2017)
Book Chapter
Vagnoli, M., Remenyte-Prescott, R., & Andrews, J. (2017). A fuzzy-based Bayesian Belief Network approach for railway bridge condition monitoring and fault detection. In Safety and Reliability – Theory and Application: ESREL 2017. CRC Press

More than 35% of the European railway bridges are over 100 years old and the increasing traffic loads are pushing the railway infrastructure to its limits. Bridge condition-monitoring strategies can help the railway industry to improve safety, availa... Read More about A fuzzy-based Bayesian Belief Network approach for railway bridge condition monitoring and fault detection.

A sensor selection method for fault diagnostics (2017)
Book Chapter
Reeves, J., Remenyte-Prescott, R., & Andrews, J. (2017). A sensor selection method for fault diagnostics. In Safety and Reliability – Theory and Application: ESREL 2017. CRC Press

In the modern world, systems are becoming increasingly complex, consisting of large numbers of components and their failures. In order to monitor system performance and to detect faults and diagnose failures, sensors can be used. However, using senso... Read More about A sensor selection method for fault diagnostics.

Railway bridge fault detection using Bayesian belief network (2017)
Conference Proceeding
Vagnoli, M., Remenyte-Prescott, R., & Andrews, J. (2017). Railway bridge fault detection using Bayesian belief network.

Bridges are one of the most critical structures of the railway system. External loads may affect the bridge health state, and consequently their safety, availability and reliability can be improved by monitoring their condition and planning maintenan... Read More about Railway bridge fault detection using Bayesian belief network.

Quantitative risk prognostics framework based on Petri Net and Bow-Tie models (2017)
Journal Article
Vileiniskis, M., & Remenyte-Prescott, R. (2017). Quantitative risk prognostics framework based on Petri Net and Bow-Tie models. Reliability Engineering and System Safety, 165, 62-73. https://doi.org/10.1016/j.ress.2017.03.026

A simulation framework based on the Petri Net model is proposed in this paper used for performing quantitative risk prognosis through extending the Bow-Tie model. A Petri Net model is built to include features, specific to assets, such as the conditi... Read More about Quantitative risk prognostics framework based on Petri Net and Bow-Tie models.

A modelling approach for railway overhead line equipment asset management (2017)
Journal Article
Kilsby, P., Remenyte-Prescott, R., & Andrews, J. (2017). A modelling approach for railway overhead line equipment asset management. Reliability Engineering and System Safety, 168, 326-337. https://doi.org/10.1016/j.ress.2017.02.012

© 2017 Elsevier Ltd The Overhead Line Equipment (OLE) is a critical sub-system of the 25 kV AC overhead railway electrification system. If OLE asset management strategies can be evaluated using a whole lifecycle cost analysis that considers degradati... Read More about A modelling approach for railway overhead line equipment asset management.

Effect of venepuncture process design on efficiency and failure rates: a simulation model study for secondary care (2016)
Journal Article
Reed, S., Remenyte-Prescott, R., & 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, 68, https://doi.org/10.1016/j.ijnurstu.2016.12.010

Background: Healthcare aims to deliver good patient outcomes. For many clinical procedures there are multiple alternative task sequences that can be performed. These deviations can influence procedure reliability, efficiency of usage of hospital reso... Read More about Effect of venepuncture process design on efficiency and failure rates: a simulation model study for secondary care.

Bayesian belief networks for fault detection and diagnostics of a three-phase separator (2016)
Conference Proceeding
Vileiniskis, M., Remenyte-Prescott, R., Rama, D., & Andrews, J. D. (2016). Bayesian belief networks for fault detection and diagnostics of a three-phase separator.

A three-phase separator (TPS) is one of the key components of offshore oil processing facili-ties. Oil is separated from gas, water and solid impurities by the TPS before it can be further processed. Fail-ures of the TPS can lead to unplanned shutdow... Read More about Bayesian belief networks for fault detection and diagnostics of a three-phase separator.

Extended Bow-Tie model for asset risk and reliability modeling: application to a passenger lift (2016)
Conference Proceeding
Vileiniskis, M., & Remenyte-Prescott, R. (2016). Extended Bow-Tie model for asset risk and reliability modeling: application to a passenger lift.

A risk and reliability modelling framework for railway assets based on the Petri Net and the Bow-Tie models is proposed in this paper. A Petri Net model together with the Monte Carlo simulation is used to replicate the projected operational usage of... Read More about Extended Bow-Tie model for asset risk and reliability modeling: application to a passenger lift.

Fault detection and diagnostics of a three-phase separator (2016)
Journal Article
Vileiniskis, M., Remenyte-Prescott, R., Rama, D., & Andrews, J. (2016). Fault detection and diagnostics of a three-phase separator. Journal of Loss Prevention in the Process Industries, 41, https://doi.org/10.1016/j.jlp.2016.03.021

A high demand of oil products on daily basis requires oil processing plants to work with maximum efficiency. Oil, water and gas separation in a three-phase separator is one of the first operations that are performed after crude oil is extracted from... Read More about Fault detection and diagnostics of a three-phase separator.

Reliability assessment techniques for medical procedures (2016)
Journal Article
Reed, S., Remenyte-Prescott, R., & Rees, B. (2016). Reliability assessment techniques for medical procedures. Safety and Reliability, 35(2), 67-68

Healthcare aims to deliver good patient outcomes. However deviations in the application of medical procedures can result in failure to deliver reliable care, variation in patient results, waste of hospital resources and increase of risk to staff and... Read More about Reliability assessment techniques for medical procedures.

Road maintenance planning using network flow modelling (2015)
Journal Article
Yang, C., Remenyte-Prescott, R., & Andrews, J. (in press). Road maintenance planning using network flow modelling. IMA Journal of Management Mathematics, https://doi.org/10.1093/imaman/dpv031

This paper presents a road maintenance planning model that can be used to balance out maintenance cost and road user cost, since performing road maintenance at night can be convenient for road users but costly for highway agency. Based on the platfor... Read More about Road maintenance planning using network flow modelling.

Application of network traffic flow model to road maintenance (2015)
Journal Article
Yang, C., Remenyte-Prescott, R., & Andrews, J. (2015). Application of network traffic flow model to road maintenance. Proceedings of the ICE - Transport, 168(3), https://doi.org/10.1680/tran.13.00067

The study shows how the evolution of two-way traffic flows on a local highway network can be predicted over time using a network-level traffic flow model (NTFM) to model both urban and motorway road networks. After a brief review of the main principl... Read More about Application of network traffic flow model to road maintenance.

Pavement maintenance scheduling using genetic algorithms (2015)
Journal Article
Yang, C., Remenyte-Prescott, R., & Andrews, J. D. (2015). Pavement maintenance scheduling using genetic algorithms. International Journal of Performability Engineering, 11(2),

This paper presents a new pavement management system (PMS) to achieve the optimal pavement maintenance and rehabilitation (M&R) strategy for a highway network using genetic algorithms (GAs). Optimal M&R strategy is a set of pavement activities that b... Read More about Pavement maintenance scheduling using genetic algorithms.

A fault detection method for railway point systems (2015)
Journal Article
Vileiniskis, M., Remenyte-Prescott, R., & Rama, D. (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), https://doi.org/10.1177/0954409714567487

Failures of railway point systems (RPSs) often lead to service delays or hazardous situations. A condition monitoring system can be used by railway infrastructure operators to detect the early signs of the deteriorated condition of RPSs and thereby p... Read More about A fault detection method for railway point systems.

Road network modelling for maintenance planning (2014)
Conference Proceeding
Yang, C., Remenyte-Prescott, R., & Andrews, J. (2014). Road network modelling for maintenance planning.

In this paper a novel road network flow model is presented, suitable for modelling both motor-way and urban roads. A road network is modelled using a directed graph, consisting of typical roads and junctions, with different traffic flow inputs throug... Read More about Road network modelling for maintenance planning.

A Petri net approach to fault verification in phased mission systems using the standard deviation technique (2014)
Journal Article
Lloyd, M. D., Andrews, J., Remenyte-Prescott, R., Pearson, J. T., & Hubbard, P. (2014). A Petri net approach to fault verification in phased mission systems using the standard deviation technique. Quality and Reliability Engineering International, 30(1), https://doi.org/10.1002/qre.1478

Health management systems are now standard aspects of complex systems. They monitor the behaviour of components and sub-systems and in the event of unexpected system behaviour diagnose faults that have occurred. Although this process should reduce... Read More about A Petri net approach to fault verification in phased mission systems using the standard deviation technique.

A network traffic flow model for motorway and urban highways (2013)
Journal Article
Yang, C., Remenyte-Prescott, R., & Andrews, J. (2014). A network traffic flow model for motorway and urban highways. Journal of the Operational Research Society, 65(8), https://doi.org/10.1057/jors.2013.86

The research reported in this paper develops a network level traffic flow model (NTFM) which is applicable for both motorway and urban roads. It forecasts the traffic flow rates, queue propagation at the junctions and travel delays through the networ... Read More about A network traffic flow model for motorway and urban highways.

Fault propagation modelling for fluid system health monitoring (2011)
Journal Article
Remenyte-Prescott, R., & Andrews, J. (2011). Fault propagation modelling for fluid system health monitoring. International Journal of Performability Engineering, 7(11),

Fault diagnostics systems are incorporated to determine the health of the system they monitor. There are however times when the diagnostics system reports faults which do not exist. This situation commonly arises at system start-up when high vibrat... Read More about Fault propagation modelling for fluid system health monitoring.

An efficient phased mission reliability analysis for autonomous vehicles (2010)
Journal Article
Remenyte-Prescott, R., Andrews, J., & Chung, P. (2010). An efficient phased mission reliability analysis for autonomous vehicles. Reliability Engineering and System Safety, 95(3), https://doi.org/10.1016/j.ress.2009.10.002

Autonomous systems are becoming more commonly used, especially in hazardous situations. Such systems are expected to make their own decisions about future actions when some capabilities degrade due to failures of their subsystems. Such decisions are... Read More about An efficient phased mission reliability analysis for autonomous vehicles.

An efficient real-time method of analysis for non-coherent fault trees (2009)
Journal Article
Remenyte-Prescott, R., & Andrews, J. (2009). An efficient real-time method of analysis for non-coherent fault trees. Quality and Reliability Engineering International, 25(2), https://doi.org/10.1002/qre.955

Fault tree analysis is commonly used to assess the reliability of potentially hazardous industrial systems. The type of logic is usually restricted to AND and OR gates which makes the fault tree structure coherent. In non-coherent structures not only... Read More about An efficient real-time method of analysis for non-coherent fault trees.

A reliability analysis method using binary decision diagrams in phased mission planning (2009)
Journal Article
Prescott, D., Remenyte-Prescott, R., Reed, S., Andrews, J., & Downes, C. (2009). A reliability analysis method using binary decision diagrams in phased mission planning. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 223(2), https://doi.org/10.1243/1748006XJRR202

The use of autonomous systems is becoming increasingly common in many fields. A significant example of this is the ambition to deploy UAVs (unmanned aerial vehicles) for both civil and military applications. In order for autonomous systems such as th... Read More about A reliability analysis method using binary decision diagrams in phased mission planning.

An enhanced component connection method for conversion of fault trees to binary decision diagrams (2008)
Journal Article
Remenyte-Prescott, R., & Andrews, J. (2008). An enhanced component connection method for conversion of fault trees to binary decision diagrams. Reliability Engineering and System Safety, 93(10), https://doi.org/10.1016/j.ress.2007.09.001

Fault Tree Analysis (FTA) is widely applied to assess the failure probability of industrial systems. Many computer packages are available which are based on conventional Kinetic Tree Theory methods. When dealing with large (possibly non-coherent) fau... Read More about An enhanced component connection method for conversion of fault trees to binary decision diagrams.

Analysis of non-coherent fault trees using ternary decision diagrams (2008)
Journal Article
Remenyte-Prescott, R., & Andrews, J. (2008). Analysis of non-coherent fault trees using ternary decision diagrams. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 222(2), https://doi.org/10.1243/1748006XJRR154

Risk and safety assessments performed on potentially hazardous industrial systems commonly utilise Fault Tree Analysis (FTA) to forecast the probability of system failure. The type of logic for the top event is usually limited to AND and OR gates whi... Read More about Analysis of non-coherent fault trees using ternary decision diagrams.

Prime implicants for modularised non-coherent fault trees using binary decision diagrams (2007)
Journal Article
Remenyte-Prescott, R., & Andrews, J. (2007). Prime implicants for modularised non-coherent fault trees using binary decision diagrams. International Journal of Reliability and Safety, 1(4), https://doi.org/10.1504/IJRS.2007.016259

This paper presents an extended strategy for the analysis of complex fault trees. The method utilises simplification rules, which are applied to the fault tree to reduce it to a series of smaller subtrees, whose solution is equivalent to the original... Read More about Prime implicants for modularised non-coherent fault trees using binary decision diagrams.

Qualitative analysis of complex modularized fault trees using binary decision diagrams (2006)
Journal Article
Remenyte-Prescott, R., & Andrews, J. (2006). Qualitative analysis of complex modularized fault trees using binary decision diagrams. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 220(1), https://doi.org/10.1243/1748006XJRR10

Fault tree analysis is commonly used in the reliability assessment of industrial systems. When complex systems are studied conventional methods can become computationally intensive and require the use of approximations. This leads to inaccuracies in... Read More about Qualitative analysis of complex modularized fault trees using binary decision diagrams.

Modelling asset management of railway overhead line equipment
Conference Proceeding
Kilsby, P., Remenyte-Prescott, R., & Andrews, J. D. (in press). Modelling asset management of railway overhead line equipment.

The overhead line equipment (OLE) is a critical sub-system of the 25kV AC overhead railway electrification system. There is a need to evaluate OLE asset management strategies through a whole life cost analysis that considers degradation processes and... Read More about Modelling asset management of railway overhead line equipment.