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Efficient risk based optimization of large system models using a reduced petri net methodology (2019)
Conference Proceeding
Naybour, S., Andrews, J., & Chiachio-Ruano, M. (2019). Efficient risk based optimization of large system models using a reduced petri net methodology. In M. Beer, & E. Zio (Eds.), Proceedings of the 29th European Safety and Reliability Conference (ESREL 2019), 826-834. https://doi.org/10.3850/978-981-11-2724-3_+0212-cd

The methodology presented in this paper is a two-stage optimization approach that can be applied to large system level models, in this case using a Stochastic Petri Net (SPN) framework, to produce an equivalent model response at a reduced computation... Read More about Efficient risk based optimization of large system models using a reduced petri net methodology.

Plausible petri nets as self-adaptive expert systems: a tool for infrastructure asset monitoring (2018)
Journal Article
Chiachío, M., Chiachío, J., Prescott, D., & Andrews, J. (2019). Plausible petri nets as self-adaptive expert systems: a tool for infrastructure asset monitoring. Computer-Aided Civil and Infrastructure Engineering, 34(4), 281-298. https://doi.org/10.1111/mice.12427

This paper provides a computational framework to model self-adaptive expert systems using the Petri net (PN) formalism. Self-adaptive expert systems are understood here as expert systems with the ability to autonomously learn from external inputs, li... Read More about Plausible petri nets as self-adaptive expert systems: a tool for infrastructure asset monitoring.

A Bayesian time-of-flight estimation for ultrasonic damage detection (2018)
Conference Proceeding
Cantero-Chinchilla, S., Chiachío-Ruano, J., Chiachío-Ruano, M., Jones, A., Essa, Y., & Martín de la Escalera, F. (2018). A Bayesian time-of-flight estimation for ultrasonic damage detection.

SHM methods for damage detection and localisation in plate-like structures have typically relied on post-processing of ultrasonic guided waves (GWs) features. The time-of-flight is one of these features, which has been extensively used by the SHM com... Read More about A Bayesian time-of-flight estimation for ultrasonic damage detection.

A Bayesian Assessment of an Approximate Model for Unconfined Water Flow in Sloping Layered Porous Media (2018)
Journal Article
Chiachío, J., Chiachío, M., Sankararaman, S., & Prescott, D. (2019). A Bayesian Assessment of an Approximate Model for Unconfined Water Flow in Sloping Layered Porous Media. Transport in Porous Media, 126(1), 177-197. https://doi.org/10.1007/s11242-018-1094-2

© 2018, The Author(s). The prediction of water table height in unconfined layered porous media is a difficult modelling problem that typically requires numerical simulation.This paper proposes an analytical model to approximate the exact solution bas... Read More about A Bayesian Assessment of an Approximate Model for Unconfined Water Flow in Sloping Layered Porous Media.

A new paradigm for uncertain knowledge representation by Plausible Petri nets (2018)
Journal Article
Chiachío, M., Chiachío, J., Prescott, D., & Andrews, J. (2018). A new paradigm for uncertain knowledge representation by Plausible Petri nets. Information Sciences, 453, https://doi.org/10.1016/j.ins.2018.04.029

This paper presents a new model for Petri nets (PNs) which combines PN principles with the foundations of information theory for uncertain knowledge representation. The resulting framework has been named Plausible Petri nets (PPNs). The main feature... Read More about A new paradigm for uncertain knowledge representation by Plausible Petri nets.

A reliability-based prognostics framework for railway track management (2017)
Conference Proceeding
Chiachío, J., Chiachío, M., Prescott, D., & Andrews, J. (2017). A reliability-based prognostics framework for railway track management.

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.

Integration of prognostics at a system level: a Petri net approach (2017)
Conference Proceeding
Chiachío, M., Chiachío, J., Sankararaman, S., & Andrews, J. (2017). Integration of prognostics at a system level: a Petri net approach.

This paper presents a mathematical framework for modeling prognostics at a system level, by combining the prognostics principles with the Plausible Petri nets (PPNs) formalism, first developed in M. Chiach´ıo et al. [Proceedings of the Future Technol... Read More about Integration of prognostics at a system level: a Petri net approach.