Skip to main content

Research Repository

Advanced Search

All Outputs (38)

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.

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. (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.

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.

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.

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.

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.

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.

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.