Fault Alarm Correlation Analysis Using Edit Distance Algorithm

2020 ◽  
Vol 45 (2) ◽  
pp. 337-339
Author(s):  
Sang-il Kim ◽  
Hwa-sung Kim
Keyword(s):  
Correlation Analysis ◽  
Edit Distance ◽  
Alarm Correlation

Alarm Correlation Analysis Method Based on Fuzzy Immune Evolution

2014 ◽  
Vol 556-562 ◽  
pp. 6191-6195
Author(s):  
Yong Wei Wang ◽  
Hui Fang Su ◽  
Wei Qiu
Keyword(s):  
Correlation Analysis ◽  
Time Window ◽  
Correlation Method ◽  
Analysis Method ◽  
Selection Algorithm ◽  
Artificial Immune ◽  
Fuzzy Correlation ◽  
Alarm Correlation ◽  
Correlation Analysis Method ◽  
Correlation Rules

This paper proposes a correlation analysis method based on fuzzy rules and artificial immune. Firstly, we adopt the alarms selection algorithm based on a sliding time window to improve the efficiency of selected alarm. Secondly, the analysis method based on fuzzy correlation rules is used to associate the known patterns static and rapidly. Then, using a method based on immune evolution to improve and adaptive the antibody so as to achieve the dynamic, intelligent correlation of unknown model. The experimental results in LLDOS1.0 and LLDOS2.0 show that the new method gets better accuracy than typical correlation methods, which can ensure the efficiency of correlation analysis and the adaptability of the correlation method.

Communication Network Alarm Correlation Based on the Confidence Fusion Algorithm

2014 ◽  
Vol 989-994 ◽  
pp. 2237-2240
Author(s):  
Hui Sheng Gao ◽  
Ying Min Li
Keyword(s):  
Communication Network ◽  
Correlation Analysis ◽  
Association Rules ◽  
Traditional Method ◽  
Sliding Window ◽  
Experimental Results ◽  
Fusion Algorithm ◽  
Alarm Correlation ◽  
Calculation Process ◽  
Calculation Results

In this article we achieve SDH communication network correlation analysis by the confidence fusion algorithm. We take the effect of the alarm topology relationship on the alarm timing relationship into the calculation process of confidence fusion algorithm .Thus it can get alarm correlation results more in line with objective facts. According to the correlation calculation results it forms the alarm correlation transactions, then applying the alarm correlation transactions to the alarm association rules mining. We compare the mining results with the traditional method based on sliding window. The experimental results show that the mining results are more effective after introducing the confidence fusion algorithm.

Sign in / Sign up

Export Citation Format

Share Document