A knowledge-based prognostics framework for railway track geometry degradation This paper proposes a paradigm shift to the problem of infrastructure asset management modelling by focusing towards forecasting the future condition…
Plausible Petri nets as self‐adaptive expert systems: A tool for infrastructure asset monitoring This article provides a computational framework to model self‐adaptive expert systems using the Petri net (PN) formalism….
A methodology for railway track maintenance modelling using Plausible Petri nets This paper proposes a new mathematical methodology to model expert systems with the ability to sequentially learn from data….
Modelling adaptive systems using plausible Petri nets One of the main challenges when analyzing and modelling complex systems using Petri nets is to deal with uncertain information, and moreover, to…
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…
Lamb wave-based damage indicator for plate-like structures Structural health monitoring based on ultrasonics typically involves complex data analysis. Ultrasound monitoring based on Lamb waves techniques are extensively used nowadays due…
A Bayesian assessment for railway track geometry degradation prognostics Advanced PHM techniques have the potential to substantially reduce railway track maintenance costs while increasing safety and availability. However, there is…