A survey of intelligent network fault diagnosis technology
Feng Lv, Xiang Li, Xiuqing Wang · 2013
This paper firstly discusses the common fault types of networks, and the necessity and importance of intelligent fault diagnosis for networks. Secondly, the basic process for network diagnosis systems is put forward. Thirdly, the basic idea and various popular methods of network fault diagnosis based on the intelligent technology, such as: Expert System, Bayesian Network, Rough Set and Neural Networks, are reviewed. Finally, the existing problems and the future research direction for network fault diagnosis are discussed.