scholarly journals Alarm Correlation Analysis Method for Smart Power Distribution and Utilization Communication Network Based on Bayesian Networks

2017 ◽  
Author(s):  
Lei Wei ◽  
Min Lu ◽  
Hong Zhu ◽  
Liqian Sun
Keyword(s):  
Communication Network ◽  
Correlation Analysis ◽  
Bayesian Networks ◽  
Power Distribution ◽  
Analysis Method ◽  
Smart Power ◽  
Alarm Correlation ◽  
Correlation Analysis Method

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.

Application of Cross-correlation Analysis Method for Measurement of the Fluid Flow Rate Based on X-ray Radiation

2019 ◽  
Vol 11 (1) ◽  
pp. 01025-1-01025-5 ◽  
Author(s):  
N. A. Borodulya ◽  
◽  
R. O. Rezaev ◽  
S. G. Chistyakov ◽  
E. I. Smirnova ◽  
...  
Keyword(s):  
Fluid Flow ◽  
Correlation Analysis ◽  
Flow Rate ◽  
Cross Correlation ◽  
Fluid Flow Rate ◽  
Analysis Method ◽  
X Ray ◽  
Cross Correlation Analysis ◽  
Correlation Analysis Method

scholarly journals Correlation analysis between multifractal characteristics of regional geomorphology and development of geological disasters

2021 ◽  
Vol 25 (1) ◽  
pp. 49-55
Author(s):  
Yiying Xiong
Keyword(s):  
Correlation Analysis ◽  
Spatial Relationship ◽  
Analysis Method ◽  
Self Similarity ◽  
Geological Disasters ◽  
Geological Disaster ◽  
Correlation Analysis Method ◽  
Fractal Spectrum ◽  
Fractal Characteristics ◽  
Relationship Of

In view of the inaccuracy of the traditional correlation analysis method, this paper proposes a correlation analysis method between the multifractal characteristics of regional landforms and the development of geological disasters. Firstly, the multifractal characteristics of regional landforms are described by using the basic fractal characteristics of self-similarity or scale invariance. Then the corresponding relation table is established according to the width of the fractal spectrum and the number of landslides and hidden dangers, and the spatial relationship of geological disaster development is analyzed. Combined with the above-mentioned spatial relationship of geological disaster development and the multifractal characteristic data of regional landforms, the correlation coefficient between the two is calculated to complete the correlation analysis between the multifractal characteristics of regional geomorphology and the development of geological disasters. The experimental results show that compared with the traditional correlation analysis method, the correlation analysis results of the multifractal characteristics of regional geomorphology and the development of geological disasters are more accurate.

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