The use of Bayesian networks in recognition of faults causes in the BB networks

The aim of this paper is to explore possibilities of using Bayesian networks in recognizing and finding places and causes of faults and detection of degradation of service in broadband telecommunications networks. To improve the functionality of the BB network operators often maintain a variety of regular or emergency work (upgrade, replacement of equipment, adding of new functions, ..) on the various elements of the network that can have caused the degradation of services. This degradation in some cases is not recognized immediately by the system alarms, but later appears in the form of random disturbances reported by the users of these services. This paper explores how to use Bayesian networks in the separation of these faults from the many other “regular disturbances” that were reported by users.