Optimal sensor allocation for identification of unknown parameters in a bubble-column loop bioreactor

2005 ◽  
pp. 413-433 ◽  
Author(s):  
Axel Munack
Keyword(s):  
Bubble Column ◽  
Unknown Parameters

NUMERICAL ANALYSIS AND EXPERIMENTAL VALIDATION OF BUBBLE SIZE DISTRIBUTIONS IN TWO-PHASE BUBBLE COLUMN REACTORS

2005 ◽  
Vol 17 (1-2) ◽  
pp. 123-145 ◽  
Author(s):  
F. Bertola ◽  
J. Grundseth ◽  
L. Hagesaether ◽  
C. Dorao ◽  
H. Luo ◽  
...  
Keyword(s):  
Numerical Analysis ◽  
Bubble Size ◽  
Experimental Validation ◽  
Bubble Column ◽  
Size Distributions ◽  
Two Phase ◽  
Bubble Column Reactors

Graphic method for assessing the margins of resistance to acoustic vibrations in the chambers of rocket engines by combustion noise

2020 ◽  
pp. 15-21
Author(s):  
R.A. Tsarapkin ◽  
V.N. Ivanov ◽  
V.I. Biryukov
Keyword(s):  
Rocket Engine ◽  
Spectral Characteristics ◽  
Combustion Process ◽  
Combustion Noise ◽  
Rocket Engines ◽  
Acoustic Vibrations ◽  
Statistical Regression ◽  
Unknown Parameters ◽  
Damping Decrement ◽  
Resonance Frequencies

An experimental method is proposed for estimating the damping decrements of pressure fluctuations in the combustion chambers of forced rocket engines. The method is based on the statistical processing of noise pressure pulsations in the vicinity of natural resonance frequencies for normal modes of acoustic vibrations of the reaction volume and the subsequent prediction of the instability of the combustion process relative to acoustic vibrations. Based on the theory of statistical regression for multidimensional experimental data, the problem of predicting unknown parameters of sample distributions is solved by asymptotic determination of the correlation coefficient of the damping decrement of pressure vibrations through optimal linear predictors and the Kolmogorov distribution. Keywords rocket engine, combustion chamber, acoustic vibrations, combustion noise, spectral characteristics, Kolmogorov criterion, damping decrement. [email protected]

SPACE SURVEILLANCE SYSTEM’S SAR SIGNAL DETECTION RESULTS

2018 ◽  
pp. 63-68 ◽  
Author(s):  
A. V. Ksendzuk ◽  
A. A. Kanatchikov ◽  
P. A. Gerasimov
Keyword(s):  
Signal Detection ◽  
Surveillance System ◽  
Observation Interval ◽  
Pulse Repetition Frequency ◽  
Storage Device ◽  
Periodic Signal ◽  
Unknown Parameters ◽  
Software Optimization ◽  
Space Objects ◽  
Field Programmable

Special aspects of space objects radiotechnical surveillance system used for filling the space tracking and surveillance system (STSS) satellite catalogue described and analyzed. Special emphasis placed on spaceborne synthetic aperture radar signals detection. Parameters of the SAR signals estimated with the proposed radiotechnical surveillance system described. Two processing methods for unknown and partially known signals proposed and analyzed. Signal detection with incompletely known parameters performs with cumulative second-order statistic. Signal detection with unknown parameters performs for periodic signal in assumption that observation interval exceed pulse repetition frequency. Proposed methods implemented in hardware demonstrator of radiotechnical surveillance system. This demonstrator works in real-time on Field Programmable Gate Array or save data on storage device for post-processing. L-band Palsar2 signal detection results presented and analyzed. Further work for hardware and software optimization described.

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