A new spectroscopic mode identification method

2007 ◽  
Vol 147 ◽  
pp. 56-60
Author(s):  
W. Zima
2020 ◽  
Vol 142 (6) ◽  
Author(s):  
Chen Wang ◽  
Minghui Hu ◽  
Zhinong Jiang ◽  
Yanfei Zuo ◽  
Zhenqiao Zhu

Abstract For the quantitative dynamic analysis of aero gas turbines, accurate modal parameters must be identified. However, the complicated structure of thin-walled casings may cause false mode identification and mode absences if conventional methods are used, which makes it more difficult to identify the modal parameters. A modal parameter identification method based on improved covariance-driven stochastic subspace identification (covariance-driven SSI) is proposed. The ability to reduce the number of mode absences and the solving stability are improved by a covariance matrix dimension control method. Meanwhile, the number of false mode identification is reduced via a false mode elimination method. In addition, the real mode complementation and the excitation frequency mode screening can be realized by a multispeed excitation method. The numerical results of a typical rotor model and measured data of an aero gas turbine validated the proposed method.


2003 ◽  
Vol 398 (2) ◽  
pp. 677-685 ◽  
Author(s):  
M.-A. Dupret ◽  
J. De Ridder ◽  
P. De Cat ◽  
C. Aerts ◽  
R. Scuflaire ◽  
...  

2013 ◽  
Vol 9 (S301) ◽  
pp. 447-448
Author(s):  
Olivera Latković ◽  
Attila Cséki

AbstractWe developed an advanced binary system model that includes stellar oscillations on one or both stars, with the goal of mode identification by fitting of the photometric light curves. The oscillations are modeled as perturbations of the local surface temperature and the local gravitational potential. In the case of tidally distorted stars, it is assumed that the pulsation axis coincides with the direction connecting the centers of the components rather than with the rotation axis. The mode identification method, originally devised by B. Bíró, is similar to eclipse mapping in that it utilizes the amplitude, phase and frequency modulation of oscillations during the eclipse; but the identification is achieved by grid-fitting of the observed light curve rather than by image reconstruction. The proposed model and the mode identification method have so far been tested on synthetic data with encouraging results.


ICCTP 2011 ◽  
2011 ◽  
Author(s):  
Xing-jian Zhang ◽  
Xiao-hua Zhao ◽  
Jian Rong ◽  
Shi-li Xu

2012 ◽  
Vol 132 (2) ◽  
pp. 231-237
Author(s):  
Yuuki Imanara ◽  
Kota Itakura ◽  
Masaki Samejima ◽  
Masanori Akiyoshi

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