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Outputs (3)

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 knowledge-based prognostics framework for railway track geometry degradation (2018)
Journal Article
Chiachío, J., Chiachío, M., Prescott, D., & Andrews, J. (2019). A knowledge-based prognostics framework for railway track geometry degradation. Reliability Engineering and System Safety, 181, 127-141. https://doi.org/10.1016/j.ress.2018.07.004

This paper proposes a paradigm shift to the problem of infrastructure asset management modelling by focusing towards forecasting the future condition of the assets instead of using empirical modelling approaches based on historical data. The proposed... Read More about A knowledge-based prognostics framework for railway track geometry degradation.

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.