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Practical predictive model for evaluating performance and delay propagation in multi-track railways during disruptions (2025)
Journal Article
Tan, K. R., Remenyte-Prescott, R., Prescott, D., & Culley, J. (2025). Practical predictive model for evaluating performance and delay propagation in multi-track railways during disruptions. Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, https://doi.org/10.1177/09544097251344652

Numerous studies have explored modelling approaches for managing disruption in rail networks, yet the examples of practical applications remain somewhat limited. This paper introduces a real-time, practical predictive modelling approach to simulate r... Read More about Practical predictive model for evaluating performance and delay propagation in multi-track railways during disruptions.

A physics-based leading edge erosion growth prediction model utilizing Bayesian updating and drone-inspection data (2025)
Journal Article
Wu, W., Naybour, S., Remenyte-Prescott, R., & Prescott, D. (2025). A physics-based leading edge erosion growth prediction model utilizing Bayesian updating and drone-inspection data. Renewable Energy, 252, Article 123354. https://doi.org/10.1016/j.renene.2025.123354

Leading edge (LE) erosion causes reduced power output and a reduction in efficiency by impairing the aerodynamics of the blade. In severe cases, it can reduce the structural integrity of the blade. It is preferable and cheaper to repair LE erosion be... Read More about A physics-based leading edge erosion growth prediction model utilizing Bayesian updating and drone-inspection data.

A probabilistic framework for water network resilience by integrating pressure indicator information and hydraulic simulations (2025)
Journal Article
Maruchu, G., Remenyte-Prescott, R., & Tolo, S. (2025). A probabilistic framework for water network resilience by integrating pressure indicator information and hydraulic simulations. Environment Systems and Decisions, 45(2), Article 19. https://doi.org/10.1007/s10669-025-10012-7

In an era marked by population growth, urbanization, climate change, and aging infrastructure, water networks face increasing pressures threatening their reliability and efficiency. Timely response to incidents and prioritizing critical pipes for int... Read More about A probabilistic framework for water network resilience by integrating pressure indicator information and hydraulic simulations.

Coloured Petri Nets-based Approach for Modelling Effects of Variation on the Reliability of the Newborn Life Support Procedure (2025)
Journal Article
Tan, A., Remenyte-Prescott, R., Egede, J., Sharkey, D., & Valstar, M. (2025). Coloured Petri Nets-based Approach for Modelling Effects of Variation on the Reliability of the Newborn Life Support Procedure. Reliability Engineering & System Safety, 260, Article 111001. https://doi.org/10.1016/j.ress.2025.111001

About 10 % of newborns need a life support procedure following birth. However, this procedure has a considerable error rate of more than 25 %, which may compromise its safety and reliability. Continuous studies to improve its performance are carried... Read More about Coloured Petri Nets-based Approach for Modelling Effects of Variation on the Reliability of the Newborn Life Support Procedure.

An asset management modelling framework for wind turbine blades considering monitoring system reliability (2024)
Journal Article
Wu, W., Prescott, D., Remenyte-Prescott, R., Saleh, A., & Chiachio Ruano, M. (2024). An asset management modelling framework for wind turbine blades considering monitoring system reliability. Reliability Engineering and System Safety, 252, Article 110478. https://doi.org/10.1016/j.ress.2024.110478

By incorporating information about asset condition from a monitoring system, engineers can utilize asset management models to manage maintenance activities on wind turbine blades throughout their lifespan. This can lower operating and maintenance cos... Read More about An asset management modelling framework for wind turbine blades considering monitoring system reliability.

A general approach to assessing SHM reliability considering sensor failures based on information theory (2024)
Journal Article
Wu, W., Cantero-Chinchilla, S., Prescott, D., Remenyte-Prescott, R., & Chiachío, M. (2024). A general approach to assessing SHM reliability considering sensor failures based on information theory. Reliability Engineering and System Safety, 250, Article 110267. https://doi.org/10.1016/j.ress.2024.110267

Structural health monitoring systems (SHM) involve implementing damage identification strategies to determine the health state of structures. However, it is important to pay close attention to the system degradation, especially the... Read More about A general approach to assessing SHM reliability considering sensor failures based on information theory.

An Evaluation of Optimization Algorithms for the Optimal Selection of GNSS Satellite Subsets (2024)
Journal Article
Alluhaybi, A., Psimoulis, P., & Remenyte-Prescott, R. (2024). An Evaluation of Optimization Algorithms for the Optimal Selection of GNSS Satellite Subsets. Remote Sensing, 16(10), Article 1794. https://doi.org/10.3390/rs16101794

Continuous advancements in GNSS systems have led, apart from the broadly used GPS, to the development of other satellite systems (Galileo, BeiDou, GLONASS), which have significantly increased the number of available satellites for GNSS positioning ap... Read More about An Evaluation of Optimization Algorithms for the Optimal Selection of GNSS Satellite Subsets.

A novel fault detection and diagnostic Petri net methodology for dynamic systems (2023)
Journal Article
Badmus, T. A., Remenyte-Prescott, R., & Prescott, D. (2025). 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, 239(1), 136 - 161. 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.

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.

A modelling approach to studying variations in newborn life support procedure (2023)
Journal Article
Tan, A., Remenyte-Prescott, R., Valstar, M., & Sharkey, D. (2024). 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, 238(4), 777-796. 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.

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., Remenyte-Prescott, R., & 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.

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.

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.