A new coefficient estimation method when using PCA for spectral super-resolution

2021 ◽  
Author(s):  
Yuan Chang ◽  
Donald Bailey ◽  
Steven Le Moan
Keyword(s):  
Estimation Method ◽  
Super Resolution ◽  
Coefficient Estimation

New proposal of reactivity coefficient estimation method using a gray-box model in nuclear power plants

2005 ◽  
Vol 46 (3-4) ◽  
pp. 241-252 ◽  
Author(s):  
M. Mori ◽  
Y. Kagami ◽  
S. Kanemoto ◽  
T. Tamaoki ◽  
M. Enomoto ◽  
...  
Keyword(s):  
Nuclear Power ◽  
Power Plants ◽  
Nuclear Power Plants ◽  
Estimation Method ◽  
Box Model ◽  
Coefficient Estimation ◽  
Reactivity Coefficient

NEW PROPOSAL OF REACTIVITY COEFFICIENT ESTIMATION METHOD USING A GRAY-BOX MODEL IN NUCLEAR POWER PLANTS

2004 ◽  
Author(s):  
MICHITSUGU MORI ◽  
YUICHI KAGAMI ◽  
SHIGERU KANEMOTO ◽  
TETSUO TAMAOKI ◽  
MITSUHIRO ENOMOTO ◽  
...  
Keyword(s):  
Nuclear Power ◽  
Power Plants ◽  
Nuclear Power Plants ◽  
Estimation Method ◽  
Box Model ◽  
Coefficient Estimation ◽  
Reactivity Coefficient

Harmonic Frequency Estimation Based on Modified-MUSIC Algorithm in Power System

2015 ◽  
Vol 9 (1) ◽  
pp. 38-42 ◽  
Author(s):  
Xiangwen Sun ◽  
Ligong Sun
Keyword(s):  
Frequency Estimation ◽  
Estimation Method ◽  
Super Resolution ◽  
Small Data ◽  
Music Algorithm ◽  
Harmonic Frequency ◽  
Multiple Signal Classification ◽  
Analysis Techniques ◽  
Resolution Algorithm ◽  
Data Length

This paper presents a new harmonics frequency estimation method. Unlike the conventional harmonic frequency estimation method (fast Fourier transform), the new algorithm is based on spectrum analysis techniques often used to estimate the direction of angle; the most popular is the multiple signal classification (MUSIC) algorithm. The drawbacks of MUSIC algorithm are concluded. Improved-MUSIC approximation algorithm is introduced and compared with FFT based on algorithm for harmonic frequency estimation. Theoretical analysis and simulations show this algorithm is a super- resolution algorithm with small data length.

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