Dynamic Behaviour of C18 HPLC Columns by Stimulus-Response Analysis Part II: Determination of Dispersion Coefficients Via Peclet Numbers

1996 ◽  
Vol 19 (19) ◽  
pp. 3193-3199
Author(s):  
Mehmet Mutlu ◽  
Vural Gökmen ◽  
Jale Acar
Energies ◽  
2019 ◽  
Vol 13 (1) ◽  
pp. 29 ◽  
Author(s):  
Eugeniusz Kornatowski ◽  
Szymon Banaszak

Frequency response analysis (FRA) is a popular method for assessing a transformer’s mechanical condition. The paper proposes a new method for interpreting the frequency response measurement results. The currently used numerical indices only give one value, which may be misleading in the analysis, while the proposed frequency response quality index (FRQI) tool analyses three separate features in the whole frequency range. The applied numerical calculations technique allows for estimations of not only the values of the average quality indices, but also locally for given frequency ranges of the analysed spectrum. It allows for determination of the problems that can be found in the active part of a transformer. The presented results come from three transformers, representing cases of typical faults. Two of them are from industry, while one was used for deformational tests in laboratory conditions. The proposed FRQI method showed its usefulness in FRA test results analysis and may be introduced into the automated assessment of such data. Each of the component parameters is sensitive to other types of differences observed between the compared frequency response curves, and may be used as a good quality detection tool.


1996 ◽  
Vol 38 (1) ◽  
pp. 13-27 ◽  
Author(s):  
Makoto NISHIGAKI ◽  
Teddy SUDINDA ◽  
Y. SASAKI ◽  
M. INOUE ◽  
T. MORIWAKI

1975 ◽  
Vol 7 (6) ◽  
pp. 438-440 ◽  
Author(s):  
NORIAKI WAKAO ◽  
YOSHIHIRO IIDA ◽  
SHIGEHARU TANISHO

1973 ◽  
Vol 95 (1) ◽  
pp. 31-36 ◽  
Author(s):  
A. W. Roberts ◽  
W. H. Charlton

In the determination of the dynamic characteristics of bulk handling systems the complexity of the problem usually makes experimental identification necessary. Experimental techniques which are based on statistical methods are known to be more reliable than conventional methods such as frequency response analysis. A statistical technique that employs a pseudo-random binary coded signal (prbs) to perturbate the system followed by cross correlation analysis may be used very effectively to identify the dynamic characteristics of the system even in the presence of extraneous noise signals. This paper describes this technique and discusses its application to two areas in the bulk handling field; the first deals with the determination of the natural frequencies of screw conveyors used for grain handling and the second deals with the identification of the dynamic characteristics of grain discharge chutes.


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