Optimization of sequences of observations for the automatic diagnostic

For the final project of the second year of the master, I worked in a project based in the "Decision Theoretic Troubleshooting".

It consists in a interactive application with an user interface, when it is represented a system with its components. For each component we have its probability of running, and all the system is represented by a Bayesian network.

The application help the user to generate a diagnostic for the reparation of the system finding the states with anomalies and his dependence and repercussion among the others components.

The entire application was developed in python, with the PyQt and gnuplot libraries for the user interface and the PyAgrum library for the representation of the Bayesian network.

Paris - France, January - March 2013