scholarly journals Phase Coherence Index, HHT and Wavelet Analysis to Extract Features from Active and Passive Distribution Networks

2018 ◽  
Vol 8 (1) ◽  
pp. 71 ◽  
Author(s):  
Silvano Vergura ◽  
Mario Carpentieri
Keyword(s):  
Wavelet Analysis ◽  
Distribution Networks ◽  
Phase Coherence ◽  
Coherence Index

scholarly journals Analysis of phase coherence in fully developed atmospheric turbulence: Amazon forest canopy

2008 ◽  
Vol 15 (4) ◽  
pp. 567-573 ◽  
Author(s):  
A. C.-L. Chian ◽  
R. A. Miranda ◽  
D. Koga ◽  
M. J. A. Bolzan ◽  
F. M. Ramos ◽  
...  
Keyword(s):  
Time Series ◽  
Solar Wind ◽  
Atmospheric Turbulence ◽  
Forest Canopy ◽  
Phase Coherence ◽  
Canopy Turbulence ◽  
Amazon Forest ◽  
Time Data ◽  
Coherence Index ◽  
Vertical Wind Velocity

Abstract. In a recent paper (Koga et al., 2007) it was shown that the intermittent nature of solar wind turbulence can be characterized by kurtosis and phase coherence index. In this paper, we apply these two nonlinear time series techniques to characterize the intermittent nature of atmospheric turbulence above and within the Amazon forest canopy using the day-time data of temperature and vertical wind velocity measured by a micrometeorological tower at two different heights. By applying kurtosis and phase coherence index to quantify the degree of phase coherence, we identify an enhanced scalar-velocity similarity for in-canopy turbulence compared to the above-canopy turbulence, during the interval of data analysis.

Investigation and quantification of Phase coherence index for different types of forcing in DC glow discharge plasma

2017 ◽  
Vol 104 ◽  
pp. 173-181 ◽  
Author(s):  
Debajyoti Saha ◽  
Pankaj Kumar Shaw ◽  
Sabuj Ghosh ◽  
M.S. Janaki ◽  
A.N.S. Iyengar
Keyword(s):  
Glow Discharge ◽  
Discharge Plasma ◽  
Phase Coherence ◽  
Glow Discharge Plasma ◽  
Dc Glow Discharge ◽  
Different Types ◽  
Coherence Index

Microgrids and Active Distribution Networks

2009 ◽  
Author(s):  
S. Chowdhury ◽  
S. P. Chowdhury ◽  
P. Crossley
Keyword(s):  
Distribution Networks ◽  
Active Distribution Networks

Classification of Acceleration Waveforms during Walking by Wavelet Transform

1997 ◽  
Vol 36 (04/05) ◽  
pp. 356-359 ◽  
Author(s):  
M. Sekine ◽  
M. Ogawa ◽  
T. Togawa ◽  
Y. Fukui ◽  
T. Tamura
Keyword(s):  
Wavelet Transform ◽  
Wavelet Analysis ◽  
Center Of Gravity ◽  
Dynamic Responses ◽  
Sequential Data ◽  
Acceleration Signal ◽  
Continuous Dynamic

Abstract:In this study we have attempted to classify the acceleration signal, while walking both at horizontal level, and upstairs and downstairs, using wavelet analysis. The acceleration signal close to the body’s center of gravity was measured while the subjects walked in a corridor and up and down a stairway. The data for four steps were analyzed and the Daubecies 3 wavelet transform was applied to the sequential data. The variables to be discriminated were the waveforms related to levels -4 and -5. The sum of the square values at each step was compared at levels -4 and -5. Downstairs walking could be discriminated from other types of walking, showing the largest value for level -5. Walking at horizontal level was compared with upstairs walking for level -4. It was possible to discriminate the continuous dynamic responses to walking by the wavelet transform.

Sign in / Sign up

Export Citation Format

Share Document