Dynamical mechanism in aero-engine gas path system using minimum spanning tree and detrended cross-correlation analysis

2017 ◽  
Vol 465 ◽  
pp. 363-369 ◽  
Author(s):  
Keqiang Dong ◽  
Hong Zhang ◽  
You Gao
Keyword(s):  
Correlation Analysis ◽  
Spanning Tree ◽  
Cross Correlation ◽  
Minimum Spanning Tree ◽  
Dynamical Mechanism ◽  
Cross Correlation Analysis ◽  
Aero Engine ◽  
Path System

Dynamical mechanism in meteorological factors using detrended cross-correlation analysis

2014 ◽  
Vol 65 (5) ◽  
pp. 577-590 ◽  
Author(s):  
Deok Du Kang ◽  
Dong In Lee ◽  
Kyungsik Kim ◽  
Gyuchang Lim ◽  
Deok-Ho Ha
Keyword(s):  
Correlation Analysis ◽  
Cross Correlation ◽  
Meteorological Factors ◽  
Dynamical Mechanism ◽  
Cross Correlation Analysis

Cross-Correlations and Structures of Aero-Engine Gas Path System Based on DCCA Coefficient and Rooted Tree

2015 ◽  
Vol 14 (02) ◽  
pp. 1550014 ◽  
Author(s):  
Keqiang Dong ◽  
Jie Fan ◽  
You Gao
Keyword(s):  
Complex System ◽  
Cross Correlation ◽  
Pressure Ratio ◽  
Rooted Tree ◽  
Coefficient Matrix ◽  
Rotor Speed ◽  
Gas Temperature ◽  
Cross Correlation Analysis ◽  
Aero Engine ◽  
Path System

Identifying the mutual interaction is a crucial problem that facilitates the understanding of emerging structures in complex system. We here focus on aero-engine dynamic as an example of complex system. By applying the detrended cross-correlation analysis (DCCA) coefficient method to aero-engine gas path system, we find that the low-spool rotor speed (N1) and high-spool rotor speed (N2) fluctuation series exhibit cross-correlation characteristic. Further, we employ detrended cross-correlation coefficient matrix and rooted tree to investigate the mutual interactions of other gas path variables. The results can infer that the exhaust gas temperature (EGT), N1, N2, fuel flow (WF) and engine pressure ratio (EPR) are main gas path parameters.

scholarly journals Erratum to: Dynamical mechanism in meteorological factors using detrended cross-correlation analysis

2014 ◽  
Vol 65 (7) ◽  
pp. 1186-1186
Author(s):  
Deok Du Kang ◽  
Dong In Lee ◽  
Kyungsik Kim ◽  
Gyuchang Lim ◽  
Deok-Ho Ha
Keyword(s):  
Correlation Analysis ◽  
Cross Correlation ◽  
Meteorological Factors ◽  
Dynamical Mechanism ◽  
Cross Correlation Analysis

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 Features of Cross-Correlation Analysis in a Data-Driven Approach for Structural Damage Assessment

Sensors ◽  
2018 ◽  
Vol 18 (5) ◽  
pp. 1571 ◽  
Author(s):  
Jhonatan Camacho Navarro ◽  
Magda Ruiz ◽  
Rodolfo Villamizar ◽  
Luis Mujica ◽  
Jabid Quiroga
Keyword(s):  
Correlation Analysis ◽  
Damage Assessment ◽  
Structural Damage ◽  
Cross Correlation ◽  
Data Driven ◽  
Cross Correlation Analysis ◽  
Data Driven Approach

POWER LAW AND STRETCHED EXPONENTIAL EFFECTS OF EXTREME EVENTS IN CHINESE STOCK MARKETS

2010 ◽  
Vol 09 (02) ◽  
pp. 203-217 ◽  
Author(s):  
XIAOJUN ZHAO ◽  
PENGJIAN SHANG ◽  
YULEI PANG
Keyword(s):  
Correlation Analysis ◽  
Power Law ◽  
Extreme Events ◽  
Stock Markets ◽  
Cross Correlation ◽  
Extreme Values ◽  
Cumulative Distribution ◽  
Stretched Exponential ◽  
Cross Correlation Analysis ◽  
Chinese Stock Markets

This paper reports the statistics of extreme values and positions of extreme events in Chinese stock markets. An extreme event is defined as the event exceeding a certain threshold of normalized logarithmic return. Extreme values follow a piecewise function or a power law distribution determined by the threshold due to a crossover. Extreme positions are studied by return intervals of extreme events, and it is found that return intervals yield a stretched exponential function. According to correlation analysis, extreme values and return intervals are weakly correlated and the correlation decreases with increasing threshold. No long-term cross-correlation exists by using the detrended cross-correlation analysis (DCCA) method. We successfully introduce a modification specific to the correlation and derive the joint cumulative distribution of extreme values and return intervals at 95% confidence level.

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