Big Chemical Encyclopedia

Chemical substances, components, reactions, process design ...

Articles Figures Tables About

Component loading

Fig. 37.2. Principal components loading plot of 7 physicochemical substituent parameters, as obtained from the correlations in Table 37.5 [39,40]. The horizontal and vertical axes account for 46 and 31%, respectively, of the correlations. Most of the residual correlation is along the perpendicular to the plane of the diagram. The line segments define clusters of parameters that have been computed by means of cluster analysis. Fig. 37.2. Principal components loading plot of 7 physicochemical substituent parameters, as obtained from the correlations in Table 37.5 [39,40]. The horizontal and vertical axes account for 46 and 31%, respectively, of the correlations. Most of the residual correlation is along the perpendicular to the plane of the diagram. The line segments define clusters of parameters that have been computed by means of cluster analysis.
July 2006 I would like to know how to calculate the minimum load current which an SMPS can deliver, in order that its regulation is still OK. Indeed, I would like to use the 2594HV for my design. This power supply is always going to be active. What happens when the different components (loads, etc.) connected to this regulator s output are in standby mode and only consume about lOOuA Will the regulator still work What is the consumption of the chip in such a mode Thank you. [Pg.295]

The correlation coefficients between the original data and the components, known as the component loadings, are also of great utility as they show which component carries... [Pg.240]

PCA transforms a data matrix X(n x m)—containing data for n objects with m variables—into a matrix of lower dimension T(n x a). In the matrix T each object is characterized by a relative small number, a, of PCA scores (PCs, latent variables). Score ti of the /th object xt is a linear combination of the vector components (variables) of vector x, and the vector components (loadings) of a PCA loading vector/ in other formulation the score is the result of a scalar product xj p. The score vector tk of PCA component k contains the scores for all n objects T is the score matrix for n objects and a components P is the corresponding loading matrix (see Figure 3.2). [Pg.113]

For a 3 X 4 X 7 vertical in-line pump, the proposed applied nozzle loadings are as given in Table F-3B. By inspection, FZ5a, AZZ5a, and MXDp are greater than two times the values shown in Table 2. IB. As stated in F.2, these component loads are acceptable provided that the calculated principal stress is less than 5950 psi. The problem is to determine the principal stress for the suction nozzle and the discharge nozzle. [Pg.124]

TABLE III. Residue Principal Component Loading Factors Data is from Collection Year 1981... [Pg.86]

Principal Component Loadings Obtained by Principal Component Analysis (89JA7) for Some Aromaticity Indices... [Pg.335]

FIGURE 11.12 Hypothetical displacement separation of a three-component mixture containing two trace components loaded at 0.1 mg each and a major component loaded at 20mg. Panel a, main component band and displacer front panel b, peaks of the impurities panel c, peak of the second component under analytical (linear elution) conditions. (Reprinted with permission from Elsevier from Viscomi, G.C. et ah, J. Chromatogr., 440, 157, 1988. Copyright.)... [Pg.321]

The so-called hypercompressors for the production of LDPE represent a special case. The ethylene is compressed in a primary piston compressor, with several stages up to around 200 to 300 bar the hypercompressor (or secondary compressor) brings the gas up from there to 3000 bar. The hypercompressors show pairwise-opposite-cylinders, and are built with up to fourteen cylinders in a multiplex arrangement. The components loaded by an internally pulsating pressure are either shrunk and/or autofrettage-treated in order to implement protective compressive residual stresses (Fig. 4.1-34). [Pg.168]

Figure 4. Principal Components 2 vs. 1 (INAA) with component loadings by element Ellipses represent 90% confidence limits far group membership. PCI summarizes 79.7% of the total variability in the utilized data, and PC2 10.7%. Figure 4. Principal Components 2 vs. 1 (INAA) with component loadings by element Ellipses represent 90% confidence limits far group membership. PCI summarizes 79.7% of the total variability in the utilized data, and PC2 10.7%.
Thus, five constants (A, A2, A3, A4, and Xq) are used to model the pure component loadings within the ranges of pressure and temperature required. The LRC model, as extended by the method of Markham and Benton ( ), is also used to predict the loadings in the multicomponent system, based upon the correlation coefficients for the pure component loading data, viz.,... [Pg.75]

Pure component loadings for CO2, N2 and O2 on commercial pelleted forms of Linde type 4A, 5A and 13X molecular sieve zeolites were derived from various gravimetric and volumetric measurements. The range of pressures and temperatures over which these measurements were made were at least as broad as those encountered in the breakthrough experiments described here, to permit accurate estimations of heats of adsorption in the manner described by equation (6) above. As mentioned above, the pure component data were correlated to the LRC model, and the CO2 loadings predicted by the multicomponent LRC model compared to actual loadings in the breakthrough runs at bed saturation. [Pg.86]

Tab. 10-2. Loadings of the three most important principal components (loadings < 0.500 are set to zero for greater clarity)... Tab. 10-2. Loadings of the three most important principal components (loadings < 0.500 are set to zero for greater clarity)...
The SIMPLISMA method was recently modified so that principal components (loading spectra) could be used instead of the original spectra.16,17 The modified method referred to as interactive principal component analysis (IPCA) consolidates the spectral information into few loadings and reduces the overall noise. It makes it somewhat easier to deal with noise in regions that lack absorptions. Otherwise, SIMPLISMA and IPCA produce very similar results. [Pg.112]

Figure 8.4 Principal component loading spectra and corresponding score images representative of starch, oil and water components on two different flavored chips. Figure 8.4 Principal component loading spectra and corresponding score images representative of starch, oil and water components on two different flavored chips.
The components analysis containing vitrinite reflectance is reported in Table IX. Reflectance is split into three components, loading most strongly on component 1. The aromatic bands represented by that at 750 cm-1 show complete dependency with reflect-... [Pg.120]

The component loadings for elemental carbon were similar to those for reflectance, and therefore, the same interpretations as above can be made for carbon. [Pg.122]

Component Chemical family Component Kinetic diameter (A) Component Loading (mol/g ads)... [Pg.69]

Figure 5-8 Left Raman spectra of synthetic mixtures of GA in water. Right, top First two principal component (loading) spectra from PCA. Right, bottom Raman spectra of pure components. Figure 5-8 Left Raman spectra of synthetic mixtures of GA in water. Right, top First two principal component (loading) spectra from PCA. Right, bottom Raman spectra of pure components.
The coordinates of each solvent point are (i) the factor (or principal component) scores F, and (ii) the factor (or principal component) loadings L. They give the information necessary to reconstitute the original physical properties D of any solvent according to Eq. (3-15). [Pg.86]

Figure 4. Partial least squares analysis of twelve glycoside hydrolysates, sensory attribute ratings and volatile compound concentration (normalised) a) component loadings, and b) sample scores. For explanation of codes see Tables II and IV. Figure 4. Partial least squares analysis of twelve glycoside hydrolysates, sensory attribute ratings and volatile compound concentration (normalised) a) component loadings, and b) sample scores. For explanation of codes see Tables II and IV.
The Group Theory Calculator [the GT Calculator] is the set of interactive EXCEL spreadsheet files, one for each of the main molecular point groups, on the CDROM supplied with this manual. The group theoretical calculations, which can be performed with the calculator, are rendered possible because of the enhancement of the basic spreadsheet operations and displays using Visual Basic for Applications code and the complex-arithmetic routines available in the Analysis Tool Pack EXCEL Add-ins . Since the Analysis Tool Pack is not one of the standard components loaded in a typical installation of the EXCEL software package, it is necessary, before attempting to use the GT Calculator, to ensure that your version of the EXCEL programme includes this extra component. With any spreadsheet open, check the Add-ins list in the TOOLS menu on the main EXCEL toolbar and, if necessary, install this component in the usual way. [Pg.1]

Examination of the principal component loadings, the eigenvectors, as func-... [Pg.78]


See other pages where Component loading is mentioned: [Pg.95]    [Pg.25]    [Pg.199]    [Pg.158]    [Pg.122]    [Pg.335]    [Pg.320]    [Pg.163]    [Pg.231]    [Pg.357]    [Pg.88]    [Pg.181]    [Pg.116]    [Pg.313]    [Pg.25]    [Pg.273]    [Pg.25]    [Pg.182]    [Pg.422]    [Pg.354]    [Pg.266]    [Pg.414]    [Pg.421]   
See also in sourсe #XX -- [ Pg.240 ]




SEARCH



Dimensioning pre-cracked components under static loads

Loadings of mixture components

Principal component loadings

Principal components analysis loadings

© 2024 chempedia.info