Title :
A kind of fault diagnosis research based on improved SOM-BP composite neural network
Author :
Wu Kehe ; Huang Zhengguan ; Wang Zhao ; Hu Xin
Author_Institution :
Sch. of Control & Comput. Eng., North China Electr. Power Univ., Beijing, China
Abstract :
As computer networks continue to grow in size and complexity, fault management in today´s high speed telecommunications networks is becoming even more difficult. In this paper some existing approach for network fault diagnosis are firstly discussed. It concentrates on analyzing the alarm propagation in the Wide Area Network and a model of fault diagnosis is then proposed. Due to the complex nonlinear relation between breakdown mode and characteristic parameters of computer network, the SOM-BP composite neural network is used. The performance analysis carried out shows SOM to be a fast and efficient method for fault diagnosis in WAN.
Keywords :
computer network management; fault diagnosis; self-organising feature maps; wide area networks; SOM-BP composite neural network; WAN; alarm propagation; breakdown mode; complex nonlinear relation; computer networks; fault diagnosis research; fault management; high speed telecommunications networks; network fault diagnosis; wide area network; Artificial neural networks; Biological neural networks; Circuit faults; Computer networks; Fault diagnosis; Neurons; composite neural network; fault diagnosis; self-organizing;
Conference_Titel :
Software Engineering and Service Science (ICSESS), 2014 5th IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-3278-8
DOI :
10.1109/ICSESS.2014.6933606
