Date Added: Jun 2012
The complexity of real production systems implies more difficulties to make an efficient monitoring and especially fault diagnosis. The authors propose a new method supporting the operator to find the cause and the origin of a fault. To obtain a diagnosis aid system that is both reactive and easy to configure, they define a set of artificial intelligence tools using neuron network techniques. The interest of these techniques is to combine the neural networks learning capabilities and PLSQL business logics and extracting the rules into natural language.