DocumentCode :
3570496
Title :
The application of fuzzy reasoning in communication network fault diagnosis
Author :
Fuping Fan ; Xingming Li
Author_Institution :
Sch. of Commun. & Inf. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
fYear :
2014
Firstpage :
121
Lastpage :
125
Abstract :
Fault management is an important part of network management, it is responsible for fault detection and locating the fault in the network. The modern network system, distributing widely, has a huge, complicated structure. Even if there is a small fault, it would bring users huge economic losses, However, in the actual network, a network fault usually leads to a number of alarm events, so we must analysis the correlation among the alarm events, and then determine the root alarm. In order to analyse the correlation among alarms, the network alarm was processed into fuzzy network alarm, which is compatible with fuzzy reasoning, by fuzzy set theory and fuzzy reasoning technology. Then set up corresponding knowledge representation and reasoning method for fuzzy reasoning. In this way, the root alarm can be located more quickly and accurately.
Keywords :
alarm systems; computer network management; fault diagnosis; fuzzy reasoning; fuzzy set theory; knowledge representation; telecommunication computing; alarm event; communication network fault diagnosis; fault management; fuzzy network alarm; fuzzy reasoning; fuzzy set theory; knowledge representation; network management; root alarm; Association rules; Cognition; Databases; Fault diagnosis; Fuzzy reasoning; Libraries; Predictive models; fuzzy alarm; fuzzy reasoning; fuzzy set theory; root alarm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Science and Systems Engineering (CCSSE), 2014 IEEE International Conference on
Print_ISBN :
978-1-4799-6396-6
Type :
conf
DOI :
10.1109/CCSSE.2014.7224521
Filename :
7224521
Link To Document :
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