Application of Kalman filtering for continuous real-time tracking of power system harmonics

1997 ◽  
Vol 144 (1) ◽  
pp. 13 ◽  
Author(s):  
V.M. Moreno Saiz ◽  
J. Barros Guadalupe
Keyword(s):  
Power System ◽  
Real Time ◽  
Kalman Filtering ◽  
Power System Harmonics ◽  
Real Time Tracking

scholarly journals An Iterative Technique for Real-Time Tracking of Power System Harmonics

2011 ◽  
Vol 6 (3) ◽  
pp. 319-327 ◽  
Author(s):  
T.S. Sidhu ◽  
M.R.D. Zadeh ◽  
P.J. Pooranalingam ◽  
Yong-Taek Oh
Keyword(s):  
Power System ◽  
Real Time ◽  
Iterative Technique ◽  
Power System Harmonics ◽  
Real Time Tracking

scholarly journals Measurement of 40 power system harmonics in real‐time on an economical ARM ® Cortex™‐M3 platform

2013 ◽  
Vol 49 (23) ◽  
pp. 1475-1476 ◽  
Author(s):  
A.J. Roscoe ◽  
T. Sklaschus ◽  
G. Oldroyd ◽  
S.M. Blair ◽  
G.M. Burt
Keyword(s):  
Power System ◽  
Real Time ◽  
Power System Harmonics

scholarly journals Real-time Tracking of the Left Ventricle in 3D Ultrasound Using Kalman Filter and Mean Value Coordinates

2014 ◽  
Author(s):  
Erik Smistad ◽  
Frank Lindseth
Keyword(s):  
Left Ventricle ◽  
Real Time ◽  
Kalman Filtering ◽  
Three Dimensional ◽  
3D Ultrasound ◽  
Mean Value ◽  
Automatic Tracking ◽  
Mean Value Coordinates ◽  
Mesh Model ◽  
Real Time Tracking

A method for real-time automatic tracking of the left ventricle (LV) in 3D ultrasound is presented. A mesh model of the LV is deformed using mean value coordinates enabling large variations. Kalman filtering and edge detection is used to track the mesh in each frame. The method is evaluated using the framework of the Challenge on Endocardial Three-dimensional Ultrasound Segmentation (CETUS). The results show that the method is able to robustly track the LV in all sequences with a mean mesh difference of about 2.5 mm

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