All Outputs (12)

An asset management framework for wind turbine blades considering reliability of monitoring system (2023)
Presentation / Conference Contribution
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.

Improving the Modelling Capability of an Integrated Fault Detection and Diagnostic Petri Net Methodology for Dynamic Systems (2023)
Presentation / Conference Contribution
Badmus, T. A., Prescott, D., & Remenyte-Prescott, R. (2023, July). Improving the Modelling Capability of an Integrated Fault Detection and Diagnostic Petri Net Methodology for Dynamic Systems. Presented at 12th IMA International Conference on Modelling in Industrial Maintenance and Reliability (MIMAR), Nottingham, UK

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 general approach for evaluating SHM system reliability with sensor failures (2023)
Presentation / Conference Contribution
Wu, W., Cantero-Chinchilla, S., Remenyte-Prescot, R., Prescott, D., Saleh, A., Chiachio Ruano, M., & Chronopoulos, D. (2023, July). A general approach for evaluating SHM system reliability with sensor failures. Presented at 12th IMA International Conference on Modelling in Industrial Maintenance and Reliability (MIMAR), Nottingham, UK

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.

Fault Tree to Petri Net Conversion for the Analysis of a Standby System (2023)
Presentation / Conference Contribution
Prescott, D. (2023, April). Fault Tree to Petri Net Conversion for the Analysis of a Standby System. Presented at 62nd ESReDA Seminar, University of Twente, the Netherlands

Although fault trees are widely used, their quantitative analysis is limited by the need for basic event independence. Dynamic and Dependent Tree Theory (D2T 2 ) has been proposed to overcome this limitation and requires dependent system fault tree e... Read More about Fault Tree to Petri Net Conversion for the Analysis of a Standby System.

Asset management modelling approach integrating structural health monitoring data for composite components of wind turbine blades (2022)
Presentation / Conference Contribution
Wu, W., Saleh, A., Remenyte-Prescott, R., Prescott, D., Ruano, M. C., & Chronopoulos, D. (2022, August). Asset management modelling approach integrating structural health monitoring data for composite components of wind turbine blades. Presented at 32nd European Safety and Reliability Conference (ESREL 2022), Dublin, Ireland

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.

A methodology for railway track maintenance modelling using Plausible Petri nets (2018)
Presentation / Conference Contribution
Chiachio, M., Chiachio, J., Prescott, D., & Andrews, J. (2018, September). A methodology for railway track maintenance modelling using Plausible Petri nets. Paper presented at Probabilistic Safety Assessment and Management PSAM 14

This paper proposes a new mathematical methodology to model expert systems with the ability to sequentially learn from data. To this end, the Plausible Petri nets (PPNs) methodology, first developed in M. Chiachío et al. [Proceedings of the Future Te... Read More about A methodology for railway track maintenance modelling using Plausible Petri nets.

Modelling adaptive systems using plausible Petri nets (2018)
Presentation / Conference Contribution
Chiachío, J., Chiachío, M., Prescott, D., & Andrews, J. (2018, July). Modelling adaptive systems using plausible Petri nets. Presented at 8th International Workshop on Reliable Engineering Computing, “ Computing with Confidence ”

One of the main challenges when analyzing and modelling complex systems using Petri nets is to deal with uncertain information, and moreover, to be able to use such uncertainty to dynamically adapt the modelled system to uncertain (changing) contextu... Read More about Modelling adaptive systems using plausible Petri nets.

A Bayesian assessment for railway track geometry degradation prognostics (2018)
Presentation / Conference Contribution
Chiachío, J., Chiachío, M., Prescott, D., & Andrews, J. (2018, July). A Bayesian assessment for railway track geometry degradation prognostics. Presented at 4th European Conference of the Prognostics and Health Management Society (PHME 2018)

Advanced PHM techniques have the potential to substantially reduce railway track maintenance costs while increasing safety and availability. However, there is still a significant lack of knowledge and experience in relation to suitable PHM models and... Read More about A Bayesian assessment for railway track geometry degradation prognostics.

A reliability-based prognostics framework for railway track management (2017)
Presentation / Conference Contribution
Chiachío, J., Chiachío, M., Prescott, D., & Andrews, J. A reliability-based prognostics framework for railway track management. Presented at Annual Conference of the Prognostics and Health Management Society, 2017

Railway track geometry deterioration due to traffic loading is a complex problem with important implications in cost and safety. Without appropriate maintenance, track deterioration can lead to severe speed restrictions or disruptions, and in extreme... Read More about A reliability-based prognostics framework for railway track management.

An information theoretic approach for knowledge representation using Petri nets (2016)
Presentation / Conference Contribution
Chiachío, M., Chiachío, J., Prescott, D., & Andrews, J. An information theoretic approach for knowledge representation using Petri nets. Presented at Future Technologies Conference 2016

A new hybrid approach for Petri nets (PNs) is proposed in this paper by combining the PNs principles with the foundations of information theory for knowledge representation. The resulting PNs have been named Plausible Petri nets (PPNs) mainly because... Read More about An information theoretic approach for knowledge representation using Petri nets.

Modelling the effects of asset management decisions on a railway track section (2014)
Presentation / Conference Contribution
Prescott, D., & Andrews, J. D. Modelling the effects of asset management decisions on a railway track section. Presented at 2nd International Conference on Railway Technology: Research, Development and Maintenance

This paper reports on the development of a Markov model that uses real-world deterioration, inspection and maintenance data to assess railway track asset management. The model allows both asset management personnel and track maintenance engineers to... Read More about Modelling the effects of asset management decisions on a railway track section.

Identifying the factors influencing track degradation on the UK rail network
Presentation / Conference Contribution
Clarke, S., & Prescott, D. Identifying the factors influencing track degradation on the UK rail network. Presented at Stephenson Conference : Research for Railways

As trains traverse track, the smoothness of its vertical geometry decreases. This degradation is linked to many interrelated factors, making it difficult to identify the primary causes. Through the use of multiple layer analysis, each factor was indi... Read More about Identifying the factors influencing track degradation on the UK rail network.