Updating conditional probabilities of Bayesian belief networks by merging expert knowledge and system monitoring data

Vagnoli, Matteo; Remenyte-Prescott, Rasa

doi:10.1016/j.autcon.2022.104366

All Outputs (4)

Ant colony optimisation of a community pharmacy dispensing process using Coloured Petri-Net simulation and UK pharmacy in-field data (2022)
Journal Article

There are 11,619 community pharmacies in England which dispense over 1 billion prescriptions each year, providing essential primary care to NHS (National Health Service) patients. These pharmacies are facing pressure from a number of sources includin... Read More about Ant colony optimisation of a community pharmacy dispensing process using Coloured Petri-Net simulation and UK pharmacy in-field data.

An automatic bridge damage diagnostics method using empirical mode decomposition based health indicators and neuro-fuzzy classification (2022)
Journal Article

Large amounts of data are generated by structural health monitoring systems continuously. Data-driven methods can transform the available data into valuable information for decision makers. However, these methods for structural health monitoring of b... Read More about An automatic bridge damage diagnostics method using empirical mode decomposition based health indicators and neuro-fuzzy classification.

Guided waves-based damage identification in plates through an inverse Bayesian process (2022)
Journal Article

The use of guided waves to identify damage has become a popular method due to its robustness and fast execution, as well as the advantage of being able to inspect large areas and detect minor structural defects. When a travelling wave on a plate inte... Read More about Guided waves-based damage identification in plates through an inverse Bayesian process.

Updating conditional probabilities of Bayesian belief networks by merging expert knowledge and system monitoring data (2022)
Journal Article

Bayesian Belief Network (BBN) methods can be adopted for reliability analysis and real-time monitoring of critical infrastructure. Conditional Probability Tables (CPTs) are used to describe the dependencies between nodes in the BBN. The CPTs are usua... Read More about Updating conditional probabilities of Bayesian belief networks by merging expert knowledge and system monitoring data.