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Correlation Averaging Method

Table I. Correlation of Method with Average Error and Yield... Table I. Correlation of Method with Average Error and Yield...
Much attention has also been devoted to modal identification without measuring the input time history. In particular, a lot of effort has been dedicated to the case of free vibration (or impulse response) and to the case of ambient vibration. In the former case, often time-domain methods based on auto-regressive moving average (ARMA) models are employed, using least squares as the core ingredient in their formulations. However, it was found that the least-squares method yields biased estimates [76], A number of methods have been developed to eliminate this bias, including the instrumental matrix with delayed observations method [76], the correlation fit method [275], the double least-squares method [114,202] and the total least-squares method [92]. A detailed comparison of these methods can be found in Cooper [61],... [Pg.99]

S. Sternberg, D.R. Lynn, Methods for Correlating Average Fiber Diameter with Performance in Complex Filtration Media, US... [Pg.90]

Monte Carlo simulations have shown that four planes are already sufficient, whereas a thicker mesh will minimally increase the accuracy [9]. The same simulations also showed that the best accuracy is obtained when the last plane is taken not too close to the wall but at a distance about 0.3 times the channel height. Finally, the random error in the uPIV evaluation is amplified in the wall shear stress determination and should be minimized. To reduce this error, statistical methods over a large number of images like correlation averaging [7] are very effective and should be applied when allowed by the experimental conditions (i.e., steady flow). [Pg.3487]

The correlation technique is an averaging method and thus affords the same type of insensitivity to asynchronous system noise as phase-sensitive detection. [Pg.166]

As stated earlier, the true value of p usually lies in between the results based on the midpoint and the spatial averaging methods, but usually closer to the latter. Thus, it appears in Fig. 8 that the selected finite element and random field mesh is adequate for values of the correlation length parameter fl>0.25. It is also observed that the reliability tends to increase with increasing correlation length of the random property fields. This result, however, is overshadowed if the uncertainty in the load is also included, which typically dominates the reliability with respect to stress limit states. [Pg.95]

The measurement techniques most frequently used are derived from Raoult s and Van t Hoff s laws applied to cryometry, ebulliometry, osmometry, etc. They are not very accurate with errors on the order of ten per cent. Consequently, the molecular weight is often replaced by correlated properties. The mean average temperature or viscosity can thus replace molecular weight in methods derived from ndM. [Pg.44]

The spectroscopic methods, NMR and mass spectrometry for predicting cetane numbers have been established from correlations of a large number of samples. The NMR of carbon 13 or proton (see Chapter 3) can be employed. In terms of ease of operation, analysis time (15 minutes), accuracy of prediction (1.4 points average deviation from the measured number), it is... [Pg.220]

One of the limitations of HF calculations is that they do not include electron correlation. This means that HF takes into account the average affect of electron repulsion, but not the explicit electron-electron interaction. Within HF theory the probability of finding an electron at some location around an atom is determined by the distance from the nucleus but not the distance to the other electrons as shown in Figure 3.1. This is not physically true, but it is the consequence of the central field approximation, which defines the HF method. [Pg.21]

Surface Area. Overall catalyst surface area can be determined by the BET method mentioned eadier, but mote specific techniques are requited to determine a catalyst s active surface area. X-ray diffraction techniques can give data from which the average particle si2e and hence the active surface area may be calculated. Or, it may be necessary to find an appropriate gas or Hquid that will adsorb only on the active surface and to measure the extent of adsorption under controUed conditions. In some cases, it maybe possible to measure the products of reaction between a reactive adsorbent and the active site. Radioactively tagged materials are frequentiy usehil in this appHcation. Once a correlation has been estabHshed between either total or active surface area and catalyst performance (particulady activity), it may be possible to use the less costiy method for quaHty assurance purposes. [Pg.196]


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Average correlation

Averages. Method

Averaging method

Correlation methods

Correlative methods

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