All Outputs (3)

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.

Fault Tree to Petri Net Conversion for the Analysis of a Standby System (2023)
Presentation / Conference
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.

A methodology for railway track maintenance modelling using Plausible Petri nets (2018)
Presentation / Conference
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.