automated troubleshooting of a umts-wlan test platform
Amongst troubleshooting tasks, correct diagnosis of faults is a complex and time consuming task. Bayesian Networks provide a modelling approach suitable to cater for the uncertainty inherent in human reasoning. The method presented in this paper, valid towards any system, is applied to a UMTS/WLAN test platform which replicates a real world cellular networks. The results conclusively show Bayesian Networks automatically diagnoses faults in the test platform with a high success rate.
automated troubleshooting test platform analysis