Time Domain and Spectral Analysis of Electrograms in Man During Regular Ventricular Activity and Ventricular Fibrillation

1984 ◽  
Vol BME-31 (4) ◽  
pp. 350-355 ◽  
Author(s):  
Lars Morkrid ◽  
Ole-Jorgen Ohm ◽  
Hogne Engedal
Keyword(s):  
Spectral Analysis ◽  
Ventricular Fibrillation ◽  
Time Domain ◽  
Ventricular Activity

Spectral analysis of time domain diffraction tomography

Radio Science ◽  
1997 ◽  
Vol 32 (2) ◽  
pp. 593-603 ◽  
Author(s):  
Timor Melamed ◽  
Ehud Heyman
Keyword(s):  
Spectral Analysis ◽  
Time Domain ◽  
Diffraction Tomography

System Identification of Jack-Up Platform by Spectral Analysis

2010 ◽  
Author(s):  
X. M. Wang ◽  
C. G. Koh ◽  
T. N. Thanh ◽  
J. Zhang
Keyword(s):  
Spectral Analysis ◽  
System Identification ◽  
Time Domain ◽  
Time History ◽  
Offshore Structures ◽  
Wave Load ◽  
History Of ◽  
Structural Responses ◽  
Jack Up ◽  
Numerical Strategy

For the purpose of structural health monitoring (SHM), it is beneficial to develop a robust and accurate numerical strategy so as to identify key parameters of offshore structures. In this regard, it is difficult to use time-domain methods as the time history of wave load is not available unless output-only methods can be developed. Alternatively, spectral analysis widely used in offshore engineering to predict structural responses due to random wave conditions can be used. Thus the power spectral density (PSD) of structural response may be more appropriate than time history of structural responses in defining the objective (fitness) function for system identification of offshore structures. By minimizing PSD differences between measurements and simulations, the proposed numerical strategy is completely carried out in frequency domain, which can avoid inherent problems rising from random phase angles and unknown initial conditions in time domain. A jack-up platform is studied in the numerical study. A search space reduction method (SSRM) incorporating the use of genetic algorithms (GA) as well as a substructure approach are adopted to improve the accuracy and efficiency of identification. As a result, the stiffness parameters of jack-up legs can be well identified even under fairly noisy conditions.

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